BEGIN:VCALENDAR VERSION:2.0 PRODID:-//CERN//INDICO//EN BEGIN:VEVENT SUMMARY:Quantum Machine Learning for Africa (QML4Africa) DTSTART;VALUE=DATE-TIME:20251130T113000Z DTEND;VALUE=DATE-TIME:20251130T130000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3050@events.chpc.ac.za DESCRIPTION:Speakers: Stephanie Muller (IBM Research)\nQuantum machine lea rning (QML) is an exciting new field of study which harnesses the laws of quantum mechanics and applies it to classical machine learning models. QML has a wide variety of potential applications spanning many fields which i nclude healthcare and life sciences\, climate and sustainability\, finance and optimization. Two parallel activities have emerged to pioneer the fie ld of quantum discoveries: one is the technological advancements required (hardware\, software and algorithms) and the other is the rapid exploratio n of domain-specific problems towards identifying quantum advantage over c lassical methods. In this workshop\, we will provide the participants with an introduction to QML from a theoretical perspective\, as well as a prac tical implementation of the Qiskit programming SDK.\n\nhttps://events.chpc .ac.za/event/155/contributions/3050/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/3050/ END:VEVENT BEGIN:VEVENT SUMMARY:How custom chatbot works and how to build a RAG (Retrieval-Augment ed-Generation) system from scratch DTSTART;VALUE=DATE-TIME:20251130T070000Z DTEND;VALUE=DATE-TIME:20251130T083000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3033@events.chpc.ac.za DESCRIPTION:Speakers: Walter Riviera (walterbot.ai)\nThis hands-on worksho p introduces students to building a basic Retrieval-Augmented Generation ( RAG) system. Participants will learn how to index a document corpus using embeddings\, implement a vector search retriever\, and connect it to a lan guage model for context-aware responses. The session covers key components like vector store\, prompt design\, and system evaluation. By the end\, s tudents will have built a simple\, working RAG pipeline. Basic Python know ledge is recommended.\n \nRequirements:Each attendee should bring their la ptop along and have Jupyter notebook with python 3.10 pre-installed.\n\nh ttps://events.chpc.ac.za/event/155/contributions/3033/ LOCATION:Century City Conference Centre 1/1-2 - Room 2 URL:https://events.chpc.ac.za/event/155/contributions/3033/ END:VEVENT BEGIN:VEVENT SUMMARY:Materials Modelling Workshop using Density Functional Theory (DFT) DTSTART;VALUE=DATE-TIME:20251130T113000Z DTEND;VALUE=DATE-TIME:20251130T130000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3016@events.chpc.ac.za DESCRIPTION:Speakers: Kingsley Obodo (University of South Africa)\nThe Mat erials Modelling Workshop using Density Functional Theory (DFT) provides p ostgraduate students\, early-career researchers\, and interdisciplinary sc ientists with a solid foundation in computational materials science. DFT i s a powerful quantum mechanical method for predicting the structural\, ele ctronic\, optical\, and magnetic properties of materials\, enabling the ra tional design of novel systems for energy\, catalysis\, and optoelectronic applications. Through a combination of lectures and hands-on sessions\, p articipants will gain practical experience with leading DFT software tools \, learning how to perform structure optimization\, electronic structure c alculations\, and property analysis. The workshop will highlight applicati ons in sustainable energy materials\, topological systems\, and low-dimens ional materials. Participants will also be introduced to emerging approach es that combine DFT with machine learning for accelerated materials discov ery and inverse design. By the end of the workshop\, attendees will posses s both theoretical insight and computational skills to apply DFT (CASTEP i n materials studio) techniques effectively in their own research and to co ntribute to innovation in materials design and development.\n\nhttps://eve nts.chpc.ac.za/event/155/contributions/3016/ LOCATION:Century City Conference Centre 1/1-10 - Room 10 URL:https://events.chpc.ac.za/event/155/contributions/3016/ END:VEVENT BEGIN:VEVENT SUMMARY:From Energetics to Rates: A Hands-on Workshop on Microkinetic Mode lling with ML Potentials DTSTART;VALUE=DATE-TIME:20251130T070000Z DTEND;VALUE=DATE-TIME:20251130T083000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2969@events.chpc.ac.za DESCRIPTION:Speakers: Kyle Abrahams (University of Cape Town)\, Thobani Ga mbu (University of Cape Town)\nLinking atomistic energetics to macroscopic rates remains a core challenge in heterogeneous catalysis. This full-day\ , hands-on workshop takes participants from surface slab setup and adsorpt ion energies (Python/ASE) to working microkinetic models. We use machine-l earned interatomic potentials to approximate energetics\, then build react ion networks\, derive transition-state-theory rate expressions\, and solve mass-balance ODEs to obtain coverages\, turnover frequencies\, and degree -of-rate-control sensitivities. Practical HPC on CHPC is woven throughout. Attendees leave with a functional model for a reaction of their choice an d a clear roadmap to extend it.\n\nhttps://events.chpc.ac.za/event/155/con tributions/2969/ LOCATION:Century City Conference Centre 1/1-10 - Room 10 URL:https://events.chpc.ac.za/event/155/contributions/2969/ END:VEVENT BEGIN:VEVENT SUMMARY:Supercomputing for Sustainability: Balancing Performance and Energ y DTSTART;VALUE=DATE-TIME:20251201T113000Z DTEND;VALUE=DATE-TIME:20251201T130000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2967@events.chpc.ac.za DESCRIPTION:Speakers: Dieter Kranzlmüller (Leibniz Supercomputing Centre) \, Ewa Deelman (University of Southern California)\, Dan Stanzione (Texas Advanced Computing Center)\, Maximilian Höb (Leibniz Supercomputing Centr e)\nSupercomputing for Sustainability: Balancing Performance and Energy\n\ nHigh-performance computing and AI are at the heart of modern cyber-infras tructure\, enabling the transformation of massive data sets into knowledge and decisions. Yet\, as system scale and complexity grow\, so do the chal lenges of energy consumption\, sustainability\, and efficient data movemen t. This BOF will explore strategies to balance performance with energy eff iciency in large-scale systems while ensuring that scientific computing re mains productive and impactful.\nKey discussion points include how future HPC and AI infrastructures can be designed and operated to reduce energy d emand\, how infrastructure choices affect sustainability\, and how new app roaches in scheduling\, data management\, architectures\, and workflow des ign can align scientific progress with environmental responsibility. By br inging together several perspectives\, the session aims to identify practi cal directions for sustainable supercomputing that can meet the dual chall enge of handling ever-larger data sets while supporting informed decisions for science and society.\n\nWelcome and Moderation \nMaximilian Höb\, Le ibniz Supercomputing Centre\n\nLightning Talks\nIan Foster\, University of Chicago\nUtz-Uwe Haus\, Hewlett Packard Enterprise\nDieter Kranzlmüller\ , Leibniz Supercomputing Centre\nDan Stanzione\, Texas Advanced Computing Center\n\nPanel Discussion with all Speakers\n\nhttps://events.chpc.ac.za /event/155/contributions/2967/ LOCATION:Century City Conference Centre 1/1-2 - Room 2 URL:https://events.chpc.ac.za/event/155/contributions/2967/ END:VEVENT BEGIN:VEVENT SUMMARY:Sustainable Research Software and Infrastructure for HPC: Practice s\, Challenges\, and Community DTSTART;VALUE=DATE-TIME:20251203T090000Z DTEND;VALUE=DATE-TIME:20251203T103000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2966@events.chpc.ac.za DESCRIPTION:Speakers: Anelda Van der Walt (Talarify/UCT eResearch)\n### Mo tivation \nAround the world\, the Research Software Engineering (RSE) move ment has shown how professionalising research software practices and build ing RSE communities can strengthen the sustainability of HPC-enabled resea rch. Many HPC users are writing their own code\, often without formal trai ning or long-term support\, which raises challenges for efficiency\, porta bility\, reproducibility\, and maintenance\, all of which are foundational to sustainable research software. This workshop\, the first of its kind i n Africa\, creates a space to showcase local software projects\, share sus tainability challenges\, opportunities and practices\, and strengthen our collective capacity for impactful computational research. Similar events h ave been held at computational conferences\, such as ISC 2023 (where MS wa s an invited speaker) and SC\, for the last five years. \n\n### Objectives \n- Raise __awareness__ of the global movement related to research softwa re sustainability\, with a specific focus on RSEs and HPC. \n- Highlight t he crucial role of r__esearch software in leveraging HPC systems__ for sci entific discovery. \n- Showcase participant __HPC-related software project s__ with a focus on sustainability and scalability. \n- Discuss __challeng es__ unique to research software that runs on HPC systems (e.g. portabilit y\, optimisation\, reproducibility). \n- Strengthen the __RSE community__ within the HPC ecosystem in South Africa and across Africa. \n\n### Struct ure (90 minutes) \n\n#### __1. Welcome & Framing (10 min)__\n\n- RSE as th e “missing link” between HPC infrastructure and impactful research. \n - Why software sustainability is crucial for HPC environments: \n - Code must be portable across architectures (clusters\, GPUs\, cloud/HPC hybrids ). \n - Performance tuning and scaling. \n - Dependency management and c ontainerisation (Singularity/Apptainer\, Docker → HPC). \n - Long-term usability beyond initial grants. \n- Outline of session flow. \n\n#### __2 . Lightning HPC Project Presentations (45 min)__ \n\nParticipants deliver __3–4 minute lightning talks__ about their research software projects\, following a __structured template__\, with a focus on __software sustainab ility__ in an HPC context. \n\n__Template prompts (HPC-focused):__\n\n- Pr oject name & research domain \n- Software function (how it supports/accele rates research) \n- Where it runs (e.g.\, CHPC\, regional facility (e.g. i lifu)\, institutional cluster\, international facility) \n- Development & maintenance team (single student? research group? cross-institution?) \n- Sustainability considerations \n 1. Portability & scaling: Can it run on different HPC systems? GPU/CPU optimisations? \n 2. Documentation & train ing: Is it accessible to new users? HPC-specific usage guides? \n 3. Commu nity & adoption: Who uses it\, and how can they contribute? \n 4. Dependen cies & environment: How are software stacks managed (modules\, containers\ , Conda)? \n 5. Identifiers & citations: DOI for code/data\, ORCID/ROR for credit. \n 6. Funding & longevity: Beyond project lifetime\, who maintain s it? \n- Biggest HPC-related sustainability challenge (e.g.\, scaling bey ond a local cluster\, lack of developer time\, rapid hardware changes). \n \nWe will provide a __slide template__ in advance with these fields for pa rticipants to populate with their content. The slide template is attached to this submission for reference. \n\n#### __3. Group Reflection & Discuss ion (25 min)__\n\nFacilitated conversation drawing out common themes: \n\n - Which HPC-related sustainability challenges recur (e.g.\, portability\, performance\, lack of maintainers)? \n- What practices are helping (e.g.\, using containers\, joining global open-source communities\, institutional RSE support)? \n- How can CHPC\, universities\, and RSSE-Africa support t he sustainability of HPC software? \n- Is there a need for a shared HPC-RS E knowledge base/training programme? \n\n#### __4. Next Steps & Closing (1 0 min)__\n\n- Summarise takeaways: recurring issues + promising solutions. \n- Announce possible follow-up: \n - An HPC–RSE community of practice under CHPC. \n - A repository of HPC software projects in South Africa. \n - Training opportunities (e.g.\, Carpentries HPC lessons\, RSSE Africa workshops). \n- Share resource links (e.g.\, FAIR4RS principles\, Softwar e Sustainability \n- Institute guides\, containerisation best practices fo r HPC). \n\n### Deliverables / Follow-up \n\n- Shared __slide deck/Zenodo_ _ collection of participant projects. \n- Post-session __blog/summary__ fo r CHPC website/newsletter. \n- Potential to propose a __recurring HPC Soft ware Sustainability SIG__ at future CHPCconf.\n\nhttps://events.chpc.ac.za /event/155/contributions/2966/ LOCATION:Century City Conference Centre 1/0-AB - Hall A+B URL:https://events.chpc.ac.za/event/155/contributions/2966/ END:VEVENT BEGIN:VEVENT SUMMARY:BoF: Women in HPC “Advancement through the professional staircas e” DTSTART;VALUE=DATE-TIME:20251203T133000Z DTEND;VALUE=DATE-TIME:20251203T150000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2948@events.chpc.ac.za DESCRIPTION:Speakers: Khomotso Maenetja (Materials Modelling Centre)\nTitl e: “Women in High Performance Computing South Africa (WHPC-South Africa) ”\nDuration: 90 minutes\nType of session: Advancement through the profe ssional staircase\n\nOrganiser(s): Name Affiliation Email A ddress\n1. Khomotso Maenetja University of Limpopo khomotso.mae netja@ul.ac.za\n2. Raesibe Ledwaba University of Limpopo raesibe.ledwaba@ ul.ac.za\n3. Beauty Shibiri University of Limpopo beauty.shibiri@ul.ac.z a\n4. Tebogo Morukuladi Univerisity of Limpopo tebzamorukuladi@gmail.com\n Description: \n\nThe WHPC BOF session for 2025 will be a reflection sessio n where women in HPC will be sharing on how their careers have advanced in the past 5 years also sharing how the platform has impacted on encouragin g women to take leadership or management roles in their workspace. This wi ll give feedback on underrepresentation of women in HPC especially in lead ership.\n\nAs a result\, we are glad to offer an invitation to both male a nd female conference attendees to continue where we left off with the last session at the 2024 annual conference. The major goal of bringing them to gether at the meeting was to develop a network of female HPC professionals in South Africa. The CHPC executive team gave major assistance to the wor kshop\, which was sponsored and attended by both men and women.\n\nAnticip ated Goals\n• Improve women's underrepresentation in HPC (Contribute in increasing the number of women and girls participation in HPC through trai ning and networking)\n• Share information and resources that foster grow th for women in HPC (institutionally and across community)\n• Raise our professional profiles\n• Encourage young girls at school level to consid er HPC as a career of choice\n\nSize: 80\nTarget audience: Women and Men \ nPrerequisites: Registered CHPC conference attendees\n\nChair(s): \n\nMs N N Zavala and Ms MG Mphahlele \n\nOutline of programme: — Single 90 min \n1. Opening – Prof Khomotso Maenetja (3 min)\n2. Presentations\na. Int roduction of the guest speaker – Prof RR Maphanga \nb. Guest Speaker – Keynote speaker – 30 Min\nc. Dr Tebogo Morukuladi – Academic Journey (15 min)\nd. Ms CS Mkhonto (University of Limpopo\, Faculty of Science an d Agriculture Student Ambassador) (15 min)\ne. Ms Precious Makhubele and K eletso Monareng – Moving from Masters to PhD Journey (15 min)\n3. Closu re – Prof RS Ledwaba (2 min)\n\nhttps://events.chpc.ac.za/event/155/cont ributions/2948/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/2948/ END:VEVENT BEGIN:VEVENT SUMMARY:BoF: HPC Education DTSTART;VALUE=DATE-TIME:20251202T113000Z DTEND;VALUE=DATE-TIME:20251202T130000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2947@events.chpc.ac.za DESCRIPTION:Speakers: Coordinator: Mr Bryan Johnston (CHPC)\nThe session w ill provide an opportunity for HPC Educators to share their plans\, challe nges\, and ideas for HPC education curricula\, tools\, and resources with the broader HPC Educator community.\n\nhttps://events.chpc.ac.za/event/155 /contributions/2947/ LOCATION:Century City Conference Centre 1/1-8+9 - Room 8+9 URL:https://events.chpc.ac.za/event/155/contributions/2947/ END:VEVENT BEGIN:VEVENT SUMMARY:BoF: HPC Ecosystems Project DTSTART;VALUE=DATE-TIME:20251203T113000Z DTEND;VALUE=DATE-TIME:20251203T130000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2946@events.chpc.ac.za DESCRIPTION:Speakers: Coordinator: Mr Bryan Johnston (CHPC)\nThis session is an opportunity for members of the HPC Ecosystems Community and those th at identify as associates / affiliates to convene in-person. The session w ill allow time for members to discuss matters relating to HPC Ecosystems P roject as well as broader African HPC and emerging HPC community topics. T he 90-minute session will include 60-minutes of prepared talks from member s of the community\, followed by a further 30-minutes of open time for dis cussion and meaningful community engagement. Alas\, muffins are not guaran teed.\n\nhttps://events.chpc.ac.za/event/155/contributions/2946/ LOCATION:Century City Conference Centre 1/1-8+9 - Room 8+9 URL:https://events.chpc.ac.za/event/155/contributions/2946/ END:VEVENT BEGIN:VEVENT SUMMARY:BoF: CHPC Users DTSTART;VALUE=DATE-TIME:20251202T133000Z DTEND;VALUE=DATE-TIME:20251202T150000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2934@events.chpc.ac.za DESCRIPTION:Speakers: Werner Janse Van Rensburg (CHPC)\nAll CHPC Users\, P rincipal Investigators and anyone interested in practical use of CHPC comp utational resources are invited to attend this informal Birds-of-a-Feather Session.\n\nShort talks will be presented during the session followed by Q&A:\n\n* HPC Users and Usage (Lengau + New HPC Cluster) - Werner Jv Rensb urg and Eric Mbele\n\n* Cloud Users and Usage (SEBOWA) - Dorah Thobye\n\n* Quantum Computing Access and Usage - Nyameko Lisa\n\n* NICIS 4-Year Busin ess Plan Overview - Mervyn Christoffels\n\nThe session provides an excelle nt opportunity to meet up in-person with CHPC employees and to meet and en gage with colleagues benefiting from CHPC services.\n\nhttps://events.chpc .ac.za/event/155/contributions/2934/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/2934/ END:VEVENT BEGIN:VEVENT SUMMARY:® Object storage for High Performance I/O DTSTART;VALUE=DATE-TIME:20251202T135000Z DTEND;VALUE=DATE-TIME:20251202T141000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2536@events.chpc.ac.za DESCRIPTION:Speakers: Adrian Jackson* (EPCC)\nObject storage technologies potentially provide an alternative\nto filesystems for data storage and op erations. In this talk I will\ndiscuss the potential for object stores\, h ow they differ from\nfilesystems and other common storage technologies\, w hat performance they can provide\, and how to adapt your programs to use t hem.\n\nhttps://events.chpc.ac.za/event/155/contributions/2536/ LOCATION:Century City Conference Centre 1/1-8+9 - Room 8+9 URL:https://events.chpc.ac.za/event/155/contributions/2536/ END:VEVENT BEGIN:VEVENT SUMMARY:(AI) and machine learning (ML) for materials discovery while speed ing up the process beyond conventional trial-and-error techniques. DTSTART;VALUE=DATE-TIME:20251202T090000Z DTEND;VALUE=DATE-TIME:20251202T092000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3079@events.chpc.ac.za DESCRIPTION:Speakers: Malik Maaza (University of South Africa & iThemba LA BS/National Research Foundation of South Africa)\nClimate change challenge s & the pressure on the earth crust minerals resources require the discove ry of novel & frontier-type compounds. These latter should exhibit diverse multifunctionalities conjugated to a minimum of energy consumption\, both during their conception & usage. Because the number of compounds that can be created from the elements in Mendeleev's periodic table is practically endless and not restricted by the 63 elements initially classified\, it i s impossible to provide an exact number. A single element\, such as carbon \, can be used to construct molecules of varied lengths\, while other elem ents can be combined in almost infinite ways to generate distinct substanc es. Elements can also form numerous compounds.\n\nBy employing algorithms to evaluate enormous datasets\, spot trends\, and forecast novel material properties\, artificial intelligence (AI) and machine learning (ML) are re volutionising materials discovery and speeding up the process beyond conve ntional trial-and-error techniques. These technologies speed up the proces s of finding new materials for a variety of uses by enabling high-throughp ut screening of possible materials\, computational design of materials wit h specific features\, and autonomous experimentation.\n\nUsing High Perfor mance Computational Capabilities (HPCC)\, this contribution reports on a s et of examples related the Energy-Water-Health-Food security nexus in line with the U.N. SDGs landscape. This includes (i) the conversion of CO2 to multi-functional nano-scaled carbonates [1] \,(ii) new generation of nanof luid coolants for heat management [2-3]\, (iii) Smart nanocoatings for gre en air conditioning [4]\, and (iv)bio-inspired nanomaterials for water dec ontamination [5]. \n\n[1].” Room temperature bio-engineered multifunctio nal carbonates for CO2 sequestration and valorization”\, M. Maaza et al\ , https://www.nature.com/articles/s41598-023-42905-5\n[2].”Remarkable th ermal conductivity enhancement in Ag—decorated graphene\nnanocomposites based nanofluid by laser liquid solid interaction in ethylene glycol”\nh ttps://www.nature.com/articles/s41598-020-67418-3\n[3]. “A novel approac h for engineering efficient nanofluids by radiolysis”\nhttps://www.natur e.com/articles/s41598-022-14540-z\n[4]. “Towards Room Temperature Thermo chromic Coatings with controllable NIR-IR\nmodulation for solar heat manag ement & smart windows applications” \, M. Maaza et al\,\nhttps://www.nat ure.com/articles/s41598-024-52021-7\n\nhttps://events.chpc.ac.za/event/155 /contributions/3079/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/3079/ END:VEVENT BEGIN:VEVENT SUMMARY:GPU/LLM as a Service Platform DTSTART;VALUE=DATE-TIME:20251203T135000Z DTEND;VALUE=DATE-TIME:20251203T141000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3055@events.chpc.ac.za DESCRIPTION:Speakers: Pramod Venkatesh ()\nFocusing on Building and scalin g low cost Large Language Models as a Service\n\nhttps://events.chpc.ac.z a/event/155/contributions/3055/ LOCATION:Century City Conference Centre 1/1-8+9 - Room 8+9 URL:https://events.chpc.ac.za/event/155/contributions/3055/ END:VEVENT BEGIN:VEVENT SUMMARY:Q & A DTSTART;VALUE=DATE-TIME:20251202T145000Z DTEND;VALUE=DATE-TIME:20251202T150000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3078@events.chpc.ac.za DESCRIPTION:Speakers: Q & A ()\nhttps://events.chpc.ac.za/event/155/contri butions/3078/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/3078/ END:VEVENT BEGIN:VEVENT SUMMARY:Q & A DTSTART;VALUE=DATE-TIME:20251202T125000Z DTEND;VALUE=DATE-TIME:20251202T130000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3077@events.chpc.ac.za DESCRIPTION:Speakers: Q & A ()\nhttps://events.chpc.ac.za/event/155/contri butions/3077/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/3077/ END:VEVENT BEGIN:VEVENT SUMMARY:Q & A DTSTART;VALUE=DATE-TIME:20251202T102000Z DTEND;VALUE=DATE-TIME:20251202T103000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3076@events.chpc.ac.za DESCRIPTION:Speakers: Q & A ()\nhttps://events.chpc.ac.za/event/155/contri butions/3076/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/3076/ END:VEVENT BEGIN:VEVENT SUMMARY:Q & A DTSTART;VALUE=DATE-TIME:20251202T102000Z DTEND;VALUE=DATE-TIME:20251202T103000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3075@events.chpc.ac.za DESCRIPTION:Speakers: Q & A ()\nhttps://events.chpc.ac.za/event/155/contri butions/3075/ LOCATION:Century City Conference Centre 1/1-8+9 - Room 8+9 URL:https://events.chpc.ac.za/event/155/contributions/3075/ END:VEVENT BEGIN:VEVENT SUMMARY:Ghost Image Reconstruction with Classical and Quantum Convolutiona l Neural Networks DTSTART;VALUE=DATE-TIME:20251201T100000Z DTEND;VALUE=DATE-TIME:20251201T102000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2954@events.chpc.ac.za DESCRIPTION:Speakers: Shawal Kassim (Student)\nImage reconstruction is a c ritical problem in industry\, especially in certain areas of Optics\, such as the Ghost Imaging experiment\, [1]\, [2]. The experiment has many bene ficial practical applications such as live cell imaging or remote sensing. The key leverage here lies with its non-local imaging procedure. This all ows one to view a quantum image without collapsing its state. The experime ntal\napproach requires twice the number of measurements as opposed to a c lassical\nimage\, due to the real and complex part of the quantum image. T hus\, requires\n≈ 2N 2 measurements to reconstruct a N × N image\, [3]. The experimental\nprocedure has challenges in the speed and fidelity of r econstruction. Commonly\nused classical reconstruction methods are effecti ve but can be computationally\nintensive or struggle to leverage the inher ent patterns in natural images.\n\nWe have designed a Classical and Quantu m algorithm to overcome this intensive computational task. The method we p resent reconstructs low-sampled\nimages measured from the Ghost Imaging ex periment\, using a Classical and\nQuantum Convolutional Neural Network (CN N)\, [4]. Low-sampled images have\na linear representation using the Hadam ard transform\, where a number of co-\nefficients of the linear decomposit ion are unknown. The CNN’s take the low-\nsampled coefficients as inputs and reconstructs the complete set of coefficients.\nInstead of directly p rocessing pixel-domain images\, our method focuses on re-\nconstructing mi ssing coefficients in the Hadamard transform domain.\nThe Quantum CNN mode l architecture adapts the principles of a Classic\nU-Net Convolutional Neu ral Network. With the use of Variational Circuits\, we\nwill apply the con volutional and pooling layers. Due to quantum properties such\nas quantum superposition and quantum entanglement\, the model may be able\nto exploit more intrinsic patterns and correlation within the Hadamard coeffi-\ncien t space. We have simulated the Quantum CNN\, and seems to show possible\ni mprovement in reconstruction speed and higher fidelity rates\, as compared to\nits classical counterpart of similar size.\n1\n\nThis paper will deta il the proposed Classical annd Quantum CNN archi-\ntecture\, the encoding scheme for Hadamard coefficients into quantum states\,\nthe variational qu antum layers for feature extraction and upsampling\, and the\nclassical op timization loop. We will present simulation results on the MNIST\ndata set \, and real experimental results from the Wits Structured Light Lab.\nDemo nstrating the CNN’s ability to reconstruct full Hadamard coefficient set s\nfrom various levels of undersampling\, followed by inverse Convolutiona l Neural\nNetwork to generate high-fidelity pixel-domain images. The findi ngs highlight\nthe potential of quantum machine learning to significantly advance computa-\ntional imaging techniques like Ghost Imaging\, paving th e way for faster\, more\naccurate\, and quantum-enhanced imaging solutions .\n\nhttps://events.chpc.ac.za/event/155/contributions/2954/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/2954/ END:VEVENT BEGIN:VEVENT SUMMARY:Quantum Optimisation Algorithms on Calculating Ramsey Numbers DTSTART;VALUE=DATE-TIME:20251201T115000Z DTEND;VALUE=DATE-TIME:20251201T121000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2953@events.chpc.ac.za DESCRIPTION:Speakers: Shawal Kassim (Wits)\nThe computation of Ramsey Num bers in graph theory looks for the appearance\nof order of a certain subst ructure in a graph of given size. Mathematically\, the\ncalculation of a R amsey Number R(k\, l) = n is a two colouring problem that\nfinds the small est graph of size n\, that contains either a colouring of size k\nor a dif ferent colouring of size l\, [1]. This is a formidable computational chall enge. Classical algorithms face a search space that grows super-exponentia lly\nwith the number of vertices\, rendering the problem intractable. This abstract\npresents an approach to utilizing Quantum Optimisation Algorith ms to address\nthis complexity\, with an experimental implementation targe ting IBMQ quan-\ntum hardware.\nThe following paper\, [2]\, reformulates t he problem of determining if R(k\, l) > n\n(i.e.\, if an n-vertex graph ex ists with no k-clique or l-independent set) into\na Quadratic Unconstraine d Binary Optimisation (QUBO) problem. The as-\nsociated Problem Hamiltonia n\, HP \, is constructed such that its ground state\ncorresponds to a solu tion that satisfies our decision problem.\n\nWe employ the Variational Alg orithm\, a leading hybrid quantum-classical method.\nThe circuit is implem ented using the Qiskit framework and executed on acces-\nsible IBMQ system s. A key aspect of our work is the introduction of quantum\napproaches in this field and execution on Utility scale IBMQ architecture.\nTo our knowl edge\, the following paper\, [3]\, solves R(5\, 5) = 45 with Majorana\nbas ed Algebra on a Photonic Quantum Computer\, using only 5 qubits.\nWe have verified classical results for the computation of small\, yet non-trivial\ ,\nRamsey numbers\, such as R(3\, 3)\, by benchmarking the performance cla ssical\noptimization. We would like to investigate the scale-up performanc e and qual-\nity of results on Utility scale quantum computers. Our findin gs will contribute\nto the knowledge of solving problems beyond the reach of conventional High\nPerformance Computing (HPC) resources.\n\n[1] - Bond y\, J.A.\, and P. Erd¨os. “Ramsey numbers for cycles in graphs.” Jour nal\nof Combinatorial Theory\, Series B\, vol. 14\, no. 1\, 1973\, pp. 46 –54. Crossref\,\nhttps://doi.org/10.1016/S0095-8956(73)80005-X\n[2] - Wa ng\, Hefeng. “Determining Ramsey Numbers on a Quantum Computer.”\nPhys ical Review A\, vol. 93\, no. 3\, Mar. 2016. Crossref\, https://doi.org/10 .1103/physreva.93.032301\n[3] - Tamburini\, Fabrizio. “Random-projector quantum diagnostics of Ramsey\nnumbers and a prime-factor heuristic for R( 5\,5)=45.” arXiv\, 2025. arXiv:2508.16699.\n\nhttps://events.chpc.ac.za/ event/155/contributions/2953/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/2953/ END:VEVENT BEGIN:VEVENT SUMMARY:Exploring the Skies like Never Before\, with SKAO | Opportunities for Africa in the Data-Intensive World DTSTART;VALUE=DATE-TIME:20251201T092000Z DTEND;VALUE=DATE-TIME:20251201T094000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3074@events.chpc.ac.za DESCRIPTION:Speakers: Roufurd Julie* ()\nThe Square Kilometre Array Observ atory (SKAO) is currently building two world-class complementary arrays of telescopes that operate in the radio segment of the electromagnetic spect rum. These telescopes will form a next-generation radio astronomy-driven B ig Data facility that will revolutionise our understanding of the universe and fundamental laws of physics. South Africa hosts the SKA-Mid telescope \, which is one of the two SKAO arrays. This presentation will highlight t he intensity of cyberinfrastructure involved in pursuing the science ambit ions of the SKAO as well as the envisaged impact thereof\, as pioneered by the MeerKAT telescope (a precursor of SKA) which is operated by the South African Radio Astronomy Observatory (SARAO).\n\nhttps://events.chpc.ac.za /event/155/contributions/3074/ LOCATION:Century City Conference Centre 1/1-8+9 - Room 8+9 URL:https://events.chpc.ac.za/event/155/contributions/3074/ END:VEVENT BEGIN:VEVENT SUMMARY:Harnessing CHPC Resources for Large-Scale Geophysical Modelling an d Mineral Prospectivity Analysis in Southern Africa DTSTART;VALUE=DATE-TIME:20251203T090000Z DTEND;VALUE=DATE-TIME:20251203T092000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3073@events.chpc.ac.za DESCRIPTION:Speakers: David Khoza* (Integrated Geoscience Solutions)\nMode rn mineral exploration increasingly depends on the ability to process and integrate large\, multi-source geoscientific datasets. At Integrated Geosc ience Solutions (IGS)\, we use High-Performance Computing (HPC) infrastruc ture provided by the Centre for High Performance Computing (CHPC) to advan ce regional-scale geophysical modelling and predictive mineral prospectivi ty mapping across Southern Africa.\n \nAccess to significant compute resou rces is essential to manage terabyte-scale datasets from magnetotelluric ( MT)\, gravity\, magnetic\, and hyperspectral surveys that demand intensive 3D inversion\, data fusion\, and machine learning routines.\n \nBy levera ging CHPC’s multi-core architecture\, parallelised inversion codes\, and high-speed storage systems\, we have reduced complex inversion runtimes f rom several days on standard workstations to under ten hours. These comput ational gains have directly enhanced exploration targeting\, improved mode l resolution\, and reduced project risk and cost.\n \nThe talk will discus s both the challenges (scalability\, data I/O\, and software optimisation) and successes (workflow automation\, reproducibility\, and improved accur acy) of running large geophysical models on CHPC clusters. Finally\, it wi ll highlight the broader scientific and economic impact of HPC-enabled exp loration\, from accelerating discovery to supporting Africa’s transition to a low-carbon\, resource-resilient economy.\n\nhttps://events.chpc.ac.z a/event/155/contributions/3073/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/3073/ END:VEVENT BEGIN:VEVENT SUMMARY:SADC Cyber-Infrastructure Meeting — Session 1 DTSTART;VALUE=DATE-TIME:20251130T070000Z DTEND;VALUE=DATE-TIME:20251130T083000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3040@events.chpc.ac.za DESCRIPTION:Full programme:\n\nhttps://events.chpc.ac.za/event/155/attachm ents/260/500/15_SADC_CI_Experts_Meeting_Draft_Agenda__30_Nov_2025.pdf\n\nh ttps://events.chpc.ac.za/event/155/contributions/3040/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/3040/ END:VEVENT BEGIN:VEVENT SUMMARY:TBA DTSTART;VALUE=DATE-TIME:20251201T100000Z DTEND;VALUE=DATE-TIME:20251201T102000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3072@events.chpc.ac.za DESCRIPTION:https://events.chpc.ac.za/event/155/contributions/3072/ LOCATION:Century City Conference Centre 1/1-8+9 - Room 8+9 URL:https://events.chpc.ac.za/event/155/contributions/3072/ END:VEVENT BEGIN:VEVENT SUMMARY:TENET Update DTSTART;VALUE=DATE-TIME:20251202T135000Z DTEND;VALUE=DATE-TIME:20251202T141000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3071@events.chpc.ac.za DESCRIPTION:Speakers: Abdullah Shariff (TENET)\nTENET Update\n\nhttps://ev ents.chpc.ac.za/event/155/contributions/3071/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/3071/ END:VEVENT BEGIN:VEVENT SUMMARY:Using Acceleration as a Service: Rethinking HPC Infrastructure in the AI Era DTSTART;VALUE=DATE-TIME:20251201T074500Z DTEND;VALUE=DATE-TIME:20251201T083000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3070@events.chpc.ac.za DESCRIPTION:Speakers: Thomas Schulthess (ETH Zurich / CSCS)\nScientific co mputing has undergone a fundamental transformation over the past decade. G PU-accelerated computing\, which in 2015 was still at the fringes of super computing\, has become the norm today. The recent advances — indeed\, th e revolution — in AI\, together with the broader digital transformation of science\, have placed HPC at the very center of scientific discovery. N o AI-for-Science project can succeed without it.\n \nThis tremendous oppor tunity\, however\, also poses a threat to HPC centers that fail to adapt t o the needs of scientists. The success of AI in science depends not only o n access to sufficient compute power but equally on data — and data requ ires curation and domain-centric workflows. Traditional HPC operational mo dels are ill-suited for this.\n \nIn a recent publication [1]\, Hoefler et al. introduced the concept of Acceleration as a Service (XaaS)\, a step i n the right direction that leverages container-based deployment of HPC wor kloads. In this presentation\, I will go a step further and demonstrate ho w supercomputing infrastructures can evolve into service-oriented architec tures [2]. Drawing on principles from cloud computing and exploiting featu res of modern high-performance networks\, we can simultaneously serve oper ational weather prediction\, climate simulation\, AI\, traditional HPC\, a nd large-scale experimental and observational instruments — all through specialized\, elastic platforms that do not compromise scalability or perf ormance.\n \n[1] T. Hoefler et al.\, “XaaS: Acceleration as a Service\, ” arXiv:2401.04552\, Jan. 2024.\n[2] M. Martinasso\, M. Klein and T.C. S chulthess “Alps\, a versatile research infrastrucutre\,” arXiv:2507.02 404\, Jul. 2025.\n\nhttps://events.chpc.ac.za/event/155/contributions/3070 / LOCATION:Century City Conference Centre 1/0-AB - Hall A+B URL:https://events.chpc.ac.za/event/155/contributions/3070/ END:VEVENT BEGIN:VEVENT SUMMARY:SANReN Connect Proof of Concept (POC) DTSTART;VALUE=DATE-TIME:20251202T115000Z DTEND;VALUE=DATE-TIME:20251202T121000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3069@events.chpc.ac.za DESCRIPTION:Speakers: Kasandra Pillay (SANReN)\nSANReN Connect Proof of Co ncept (POC)\n\nhttps://events.chpc.ac.za/event/155/contributions/3069/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/3069/ END:VEVENT BEGIN:VEVENT SUMMARY:Secure HPC and AI Inference Workloads DTSTART;VALUE=DATE-TIME:20251201T115000Z DTEND;VALUE=DATE-TIME:20251201T121000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3068@events.chpc.ac.za DESCRIPTION:Speakers: Tim Dykes ()\nTraditional HPC systems offer various levels of job isolation\, including secure RDMA enclaves\, but often assum e a ‘friendly neighbor’ shared batch system environment outside of tha t. Creating end-to-end attested workflows on them is still a novel develop ment. Trusted research environments instead are often built as Kubernetes clusters\, on the other hand\, and offer more isolated execution environme nts\, but network separation typically ends at the VLAN level.\n\nWe prese nt a method to execute workloads in an attested environment using RDMA and IP network separation at the linux namespace level on HPE Slingshot in a setup where K8s is used to run elastic inference workloads."\n\nhttps://ev ents.chpc.ac.za/event/155/contributions/3068/ LOCATION:Century City Conference Centre 1/1-8+9 - Room 8+9 URL:https://events.chpc.ac.za/event/155/contributions/3068/ END:VEVENT BEGIN:VEVENT SUMMARY:Beyond Performance: Building a Multi-Tenant HPC Centre of Excellen ce with VAST DTSTART;VALUE=DATE-TIME:20251201T123000Z DTEND;VALUE=DATE-TIME:20251201T125000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3067@events.chpc.ac.za DESCRIPTION:Speakers: Kim Ormiston (Sponsor)\nThis talk explores how VAST enables modern HPC environments to operate as a true shared services centr e of excellence. By combining multi-tenancy with predictable QoS\, VAST en ables research groups and diverse workloads to coexist on a single platfor m without performance conflicts. The result is a simplified\, scalable HPC architecture that delivers fairness\, consistency\, and cloud-like servic e delivery for HPC and AI users alike.\n\nhttps://events.chpc.ac.za/event/ 155/contributions/3067/ LOCATION:Century City Conference Centre 1/1-8+9 - Room 8+9 URL:https://events.chpc.ac.za/event/155/contributions/3067/ END:VEVENT BEGIN:VEVENT SUMMARY:Intel Xeon 6: Powering AI Inference from Edge to Cloud for Modern Business DTSTART;VALUE=DATE-TIME:20251201T113000Z DTEND;VALUE=DATE-TIME:20251201T115000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3066@events.chpc.ac.za DESCRIPTION:Speakers: Jean-Laurent Philippe (Intel)\nDiscover how servers with Intel Xeon 6 processors revolutionize AI inference across your entire infrastructure. This executive briefing explores the compelling business case for modernizing your compute environment\, featuring breakthrough TCO improvements\, enhanced sustainability metrics\, and seamless AI workload deployment from edge to cloud. Learn how forward-thinking organizations a re leveraging this powerful combination to accelerate datacentre refresh c ycles while reducing operational costs and environmental impact. Join us f or insights on strategic planning\, investment optimization\, and competit ive advantages that drive digital transformation success.\n\nhttps://event s.chpc.ac.za/event/155/contributions/3066/ LOCATION:Century City Conference Centre 1/1-8+9 - Room 8+9 URL:https://events.chpc.ac.za/event/155/contributions/3066/ END:VEVENT BEGIN:VEVENT SUMMARY:How Intel and HPE team up to solve challenges in Agentic AI\, such as IO pressure\, security\, system heterogeneity and TCO. DTSTART;VALUE=DATE-TIME:20251201T150000Z DTEND;VALUE=DATE-TIME:20251201T154500Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3065@events.chpc.ac.za DESCRIPTION:Speakers: Jean-Laurent Philippe (Intel)\, Utz-Uwe Haus (HPE HP C/AI EMEA Research Lab (ERL))\nDatacentres have evolved to maximize the Ge nAI wave\, and now Agentic AI is driving an even bigger compute shift\, wi th a massive heterogeneity of compute capabilities in the datacentres (CPU \, GPU\, accelerators\, …). Data storage is key. Security of data is par amount. Processing capabilities still have to step up. But data storage an d security at rest are not enough\, as I/O pressure of heterogeneous workf lows\, multi-tenant usage of resources\, and integration of highly differe ntiated operational compute services into previously dedicated systems bec omes the target for optimizing TCO. Learn how Intel’s architecture and t echnologies\, how HPE solutions and AI expertise will capture this next wa ve of Agentic AI and deliver customer value.\n\nhttps://events.chpc.ac.za/ event/155/contributions/3065/ LOCATION:Century City Conference Centre 1/0-AB - Hall A+B URL:https://events.chpc.ac.za/event/155/contributions/3065/ END:VEVENT BEGIN:VEVENT SUMMARY:Active Memory Architecture\, Early Design DTSTART;VALUE=DATE-TIME:20251203T164500Z DTEND;VALUE=DATE-TIME:20251203T170000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3064@events.chpc.ac.za DESCRIPTION:Speakers: Thomas Sterling (TACC)\nThe Active Memory Architectu re (AMA) is a non von Neumann\, is a memory-centric\, non von Neumann\, gr aph processing architecture for scaling to Zettaflops performance with fir st production delivery in 2031.graph processing computer architecture for scaling to Zettaflops performance capability. Its first commercial product ion delivery is scheduled for 2031. The AMA project is in its second year of design at the Texas Advanced Computing Center. AMA is a product of more than three decades of exploratory research in parallel computing includin g parallel execution models\, dynamic runtime systems\, hardware architect ure\, and parallel programming. Strictly speaking\, it is not conventional with respect to typical von Neumann processor cores. The memory and logic are merged with small chunks of data (about 1 K wide words) and logic in message-driven units called “Fontons”. The messages are “Operons” that carry both data and work to any Fonton in the global system. The name space combines attributes of both virtual and physical addressing across the system. The distribution of work is dynamic and changes during the com putation for optimal operation. This closing short presentation of CHPC25 will update the international HPC community on this revolutionary method i mmediately following the presentation of Dr. Dan Stanzione\, Director of T ACC.\n\nhttps://events.chpc.ac.za/event/155/contributions/3064/ LOCATION:Century City Conference Centre 1/0-AB - Hall A+B URL:https://events.chpc.ac.za/event/155/contributions/3064/ END:VEVENT BEGIN:VEVENT SUMMARY:NSTF Awards: Recognising Research Software and the People Who Buil d It DTSTART;VALUE=DATE-TIME:20251201T154500Z DTEND;VALUE=DATE-TIME:20251201T155000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3059@events.chpc.ac.za DESCRIPTION:Speakers: Anelda Van der Walt (Talarify)\nResearch software un derpins nearly every aspect of modern science\, from data processing and s imulation to modelling\, visualisation\, and workflow automation. In South Africa\, as around the world\, HPC users and administrators play a substa ntial role in developing and maintaining the research software that drives the models\, simulations\, and workflows behind scientific discoveries. U nfortunately\, few mechanisms exist to incentivise and recognise these con tributions\, leaving much of the foundational work behind research softwar e undervalued and overlooked.\n\nTo address this gap\, the UCT eResearch C entre initiated and designed the framework for a new National Science and Technology Forum (NSTF) award category\, working in partnership with the U niversity of the Western Cape\, South African Centre for Digital Language Resources (SADiLaR) and the NSTF. The introduction of this category\, laun ching in 2025/2026\, has been made possible through financial support from SADiLaR and will recognise exceptional contributions to science\, enginee ring\, technology and innovation enabled by research software.\n\nhttps:// events.chpc.ac.za/event/155/contributions/3059/ LOCATION:Century City Conference Centre 1/0-AB - Hall A+B URL:https://events.chpc.ac.za/event/155/contributions/3059/ END:VEVENT BEGIN:VEVENT SUMMARY:The Effect of Cybersecurity Fatigue on Employees’ Compliance wit h Cybersecurity Measures DTSTART;VALUE=DATE-TIME:20251202T123000Z DTEND;VALUE=DATE-TIME:20251202T130000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3062@events.chpc.ac.za DESCRIPTION:Speakers: Luyanda Mtombeni (NRF:SARAO)\, Teofelus Tuyeni (Univ ersity of Cape Town)\, Wallace Chigona (University of Cape Town)\nIn the m odern digital era\, cybersecurity has emerged as a critical domain\, shapi ng the security landscape of organisations worldwide. As technological adv ancements redefine how businesses and individuals operate and interact\, t he need for robust cybersecurity measures becomes increasingly apparent. T he purpose of this research study is to explain the effect of cybersecurit y fatigue on employees' compliance with cybersecurity measures. Cybersecur ity fatigue causes employees to become disengaged from cybersecurity activ ities\, resulting in non-compliance. Empirical studies explaining the effe ct of cybersecurity fatigue on compliance with cybersecurity measures are relatively scarce. The study employed a qualitative case study approach. W e purposely sampled 11 employees from a single organisation to collect dat a. The data was analysed using the NVivo software tool. The findings of th is study indicate that cybersecurity fatigue leads to frustration and irri tation\, which results in negative perceptions of cybersecurity and non-co mpliant actions\, such as ignoring cybersecurity requirements. Additionall y\, organisational culture and individual factors influence these effects. This research seeks to explain the effect of cybersecurity fatigue and en courage employees' compliance with cybersecurity measures.\n\nhttps://even ts.chpc.ac.za/event/155/contributions/3062/ LOCATION:Century City Conference Centre 1/1-10 - Room 10 URL:https://events.chpc.ac.za/event/155/contributions/3062/ END:VEVENT BEGIN:VEVENT SUMMARY:Aligning cybersecurity education with industry needs: Bridging Sou th Africa’s skills development DTSTART;VALUE=DATE-TIME:20251201T120000Z DTEND;VALUE=DATE-TIME:20251201T123000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2982@events.chpc.ac.za DESCRIPTION:Speakers: Hennie Kruger (North-West University)\, Lynette Drev in (NWU | North-West University)\, Marijke Coetzee ()\, Michael De Jager ( Unit for Data Science and Computing\, North-West University)\nSouth Africa faces a critical shortage of cybersecurity professionals\, with both indu stry and academia recognising the gap as a driver of national cyber risk. This paper examines the nature of the cybersecurity skills gaps by reviewi ng recent studies and presenting the findings of a recent survey. Findings confirm that employers expect graduates to transition seamlessly into the workforce\, highlighting the importance of practical\, hands-on training\ , embedded certification pathways\, and curricula aligned with market dema nds. Students similarly seek a relevant qualification to enhance their car eers\, offer hands-on learning\, embed certifications\, and provide flexib le and affordable delivery. To address these needs\, the study evaluates t wo international cybersecurity knowledge frameworks\, ACM Cybersecurity Cu rricula Guidelines 2017 (CSEC2017) and the Cyber Security Body of Knowledg e (CyBok). Adopting and localising these frameworks can guide the developm ent of a South African cybersecurity postgraduate qualification that is gl obally benchmarked yet tailored to local threats\, legislation\, and workf orce requirements. By bridging the gap between academic preparation and in dustry expectations\, the study aims to enhance the nation's capacity to r espond to evolving cybersecurity challenges.\n\nhttps://events.chpc.ac.za/ event/155/contributions/2982/ LOCATION:Century City Conference Centre 1/1-10 - Room 10 URL:https://events.chpc.ac.za/event/155/contributions/2982/ END:VEVENT BEGIN:VEVENT SUMMARY:CerebRAN: A Dynamic Behavioural Dataset for Ransomware Detection DTSTART;VALUE=DATE-TIME:20251201T090000Z DTEND;VALUE=DATE-TIME:20251201T093000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3061@events.chpc.ac.za DESCRIPTION:Speakers: Emmanuel Musiiwa (Rhodes University)\, Moses Moyo () \, Stones Chindipha (Rhodes University)\nAbstract: Ransomware remains a si gnificant cyber threat\, yet research is often hampered by a lack of moder n\, balanced datasets. This study proposed CerebRAN\, a new dataset made f rom dynamic analysis of ransomware (400 samples) and goodware (399 samples ). We provide a detailed methodology from the sample collection to the ext raction of features using Cuckoo Sandbox on a Windows 7 operating system. To validate the usability of CerebRAN\, we performed machine learning expe riments using Random Forests and Logistic Regression using the Recursive F eature Elimination with Cross-Validation (RFECV) technique. The results we obtained from the experiments show that the Random forests were the super ior classifier on CerebRAN scoring accuracy of 0.9625\, precision of 0.962 8\, recall of 0.9625 and f1-score of 0.9625. Logistic regression scored an accuracy of 0.9562\, precision of 0.9563\, recall of 0.9563 and an F1-sco re of 0.9562. Random forests outperformed Logistic regression using an opt imum 48 features while logistic regression used 174 features. This experim ent highlighted how effective and valuable CerebRAN is for the development of robust detection tools. The dataset and sample metadata are publicly a vailable on GitHub.\n\nhttps://events.chpc.ac.za/event/155/contributions/3 061/ LOCATION:Century City Conference Centre 1/1-10 - Room 10 URL:https://events.chpc.ac.za/event/155/contributions/3061/ END:VEVENT BEGIN:VEVENT SUMMARY:Engaging with International Cyber Forums DTSTART;VALUE=DATE-TIME:20251201T103000Z DTEND;VALUE=DATE-TIME:20251201T105000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3063@events.chpc.ac.za DESCRIPTION:Speakers: Brett van Niekerk ()\, Trishana Ramluckan ()\nEngagi ng with International Cyber Forums\n\nhttps://events.chpc.ac.za/event/155/ contributions/3063/ LOCATION:Century City Conference Centre 1/1-10 - Room 10 URL:https://events.chpc.ac.za/event/155/contributions/3063/ END:VEVENT BEGIN:VEVENT SUMMARY:Optimization and Placement Patterns for training and inference wor kloads DTSTART;VALUE=DATE-TIME:20251201T121000Z DTEND;VALUE=DATE-TIME:20251201T123000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3025@events.chpc.ac.za DESCRIPTION:Speakers: Lerato Mohapi (Eclipse Holdings)\nThe current paradi gm in HPC for AI has shifted from simple "data parallelism" to multi-dimen sional (3D) parallelism and heterogeneous co-execution. In this talk\, we will discuss optimization and placement patterns for training and inferenc e workloads. For Training\, we will focus on topology-aware placement that minimizes inter-node communication latency using 3D parallelism. For infe rence\, We will also focus on maximizing throughput per watt and utilizing "stranded" capacity via hybrid CPU-GPU pipelining and dynamic model parti tioning (e.g.\, Multi-Instance GPU or MIG). We will then demonstrate how t hese placement strategies can be used to harness the power of HPC in AI wo rkloads by applying 3D parallelism and heterogeneous co-execution.\n\nhttp s://events.chpc.ac.za/event/155/contributions/3025/ LOCATION:Century City Conference Centre 1/1-8+9 - Room 8+9 URL:https://events.chpc.ac.za/event/155/contributions/3025/ END:VEVENT BEGIN:VEVENT SUMMARY:The National Policy Data Observatory (NPDO) DTSTART;VALUE=DATE-TIME:20251202T094000Z DTEND;VALUE=DATE-TIME:20251202T100000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2975@events.chpc.ac.za DESCRIPTION:Speakers: Sifiso Mgaga* (CSIR)\nThe National Policy Data Obser vatory (NPDO) is a government-led initiative housed at the CSIR to strengt hen evidence-based policymaking through advanced data analytics and nation al cyber-infrastructure. Established during the Covid-19 pandemic\, the NP DO has expanded into a multidisciplinary hub delivering insights on socio- economic trends\, mobility\, disaster management\, energy use\, sentiment analysis and development indicators. Its growing portfolio now supports em erging priorities such as crime prediction\, water quality monitoring\, di gital census innovation and service-delivery improvement. Through strategi c collaborations across government and research partners\, the NPDO is bec oming a central platform for integrated\, data-driven decision support in South Africa.\n\nhttps://events.chpc.ac.za/event/155/contributions/2975/ LOCATION:Century City Conference Centre 1/1-8+9 - Room 8+9 URL:https://events.chpc.ac.za/event/155/contributions/2975/ END:VEVENT BEGIN:VEVENT SUMMARY:Strategic Infrastructure Investments and Partnerships\, and How to Maximise on Private Sector Investments DTSTART;VALUE=DATE-TIME:20251202T100000Z DTEND;VALUE=DATE-TIME:20251202T102000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3060@events.chpc.ac.za DESCRIPTION:Speakers: DR FRANK SETH ()\nStrategic Infrastructure Investmen ts and Partnerships\, and How to Maximise on Private Sector Investments\n\ nhttps://events.chpc.ac.za/event/155/contributions/3060/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/3060/ END:VEVENT BEGIN:VEVENT SUMMARY:Computational chemistry methods to understand the role of intermol ecular interactions in the properties of materials DTSTART;VALUE=DATE-TIME:20251201T113000Z DTEND;VALUE=DATE-TIME:20251201T115000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3057@events.chpc.ac.za DESCRIPTION:Speakers: Catharine Esterhuysen* (Department of Chemistry and Poymer Science\, University of Stellenbosch)\nIntermolecular interactions play a fundamentally important role in the properties of solid materials. For instance\, molecules ("guests") are taken up into porous materials ("h osts") as a result of the interactions between these species\, while the m anner in which they interact has an influence on the sorption ability of t he porous material. Several examples from our work will be used to show th at calculations performed using the CHPC's computational facility allow us to explain the role that intermolecular interactions play in the unusual sorption properties of various porous compounds. For instance\, the format ion of hydrogen bonds between a porous material and guest H2O molecules ca n allow the water to behave like a liquid down to temperatures as low as –70 C.[1] Molecular dynamics calculations and in combination with sim ulation of sorption isotherms using the BioVia MaterialsStudio suite avail able through the CHPC aided in this understanding\, and can hence be used to identify materials that will yield superior water harvesting materials. \nIn this presentation\, several examples from our work will be used to show that computational methods allow us to explain the role that intermol ecular interactions play in stabilising various chemical systems. In parti cular\, I will focus on how interactions between water\, CO2 and other sol vents influence the properties of porous materials\, and how we have used the resources made available through the CHPC to undertake these studies. \n\n[1] Eaby\, A.C.\, Myburgh\, D.C.\, Kosimov\, A.\, Kwit\, M.\, Esterhuy sen C.\, Janiak\, A. M.\, Barbour\, L. J. (2023) Nature\, 616\, 288–295. \n\nhttps://events.chpc.ac.za/event/155/contributions/3057/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/3057/ END:VEVENT BEGIN:VEVENT SUMMARY:Curbing Non-Revenue Water Through A Dynamic Hydraulic Modeling & S mart Water Network Management System DTSTART;VALUE=DATE-TIME:20251202T090000Z DTEND;VALUE=DATE-TIME:20251202T092000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2973@events.chpc.ac.za DESCRIPTION:Speakers: Lwando Ngcama* (CSIR Staff)\nWater scarcity and non- revenue water remain pressing issues in South Africa\, exacerbated by envi ronmental changes. The CSIR's Smart Water and Waste Water Institute (SWWWI )\, in collaboration with Spectrum Access and Management Innovation (SAMI) \, proposes an innovative Smart Water Network Management solution to addre ss these challenges. The solution integrates a Dynamic Hydraulic Model (DH M) program with a real-time smart dashboard\, leveraging expertise from te lecommunications\, civil\, and software engineering. This enables proactiv e remote monitoring and control of distributed water networks\, optimizing network performance\, reducing water loss\, and enhancing operational eff iciency.\n\nThe DHM simulates various network scenarios\, enabling predict ive maintenance\, pressure management\, and optimized control valve schedu ling. The smart dashboard provides a unified interface for operators to mo nitor and control the network\, facilitating swift response to anomalies a nd informed decision-making. Testing and validation are underway on the CS IR's Pretoria campus water network\, with collaborative support from Magal ies Water. Ongoing research and development focus on refining the solution \, incorporating advanced analytics\, machine learning\, and IoT technolog ies. The Smart Water Network Management System has the potential to revolu tionize water management practices in South Africa and reduce non-revenue water through conservative measures and relevant technological capabilitie s.\n\nhttps://events.chpc.ac.za/event/155/contributions/2973/ LOCATION:Century City Conference Centre 1/1-8+9 - Room 8+9 URL:https://events.chpc.ac.za/event/155/contributions/2973/ END:VEVENT BEGIN:VEVENT SUMMARY:Empowering South African Research through the Altron AI Factory DTSTART;VALUE=DATE-TIME:20251203T094000Z DTEND;VALUE=DATE-TIME:20251203T100000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3054@events.chpc.ac.za DESCRIPTION:Speakers: Bongani Andy Mabaso (ALTRON)\nThe Altron AI Factory provides South Africa’s academic community with secure\, locally hosted access to enterprise-grade AI infrastructure and services. Built in partne rship with NVIDIA and hosted in Teraco’s AI-ready data centre\, it offer s GPU-as-a-Service and AI-as-a-Service to accelerate research without heav y infrastructure costs.\nThis presentation highlights how universities and research institutions can leverage the AI Factory to advance data-driven studies\, maintain data sovereignty\, and collaborate across disciplines. Through high-performance computing\, curated models\, and managed services \, the Altron AI Factory bridges the gap between academic research and ind ustrial innovation to partner with South African academia to lead in the A I era.\n\nhttps://events.chpc.ac.za/event/155/contributions/3054/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/3054/ END:VEVENT BEGIN:VEVENT SUMMARY:Q&A DTSTART;VALUE=DATE-TIME:20251203T145000Z DTEND;VALUE=DATE-TIME:20251203T150000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3056@events.chpc.ac.za DESCRIPTION:https://events.chpc.ac.za/event/155/contributions/3056/ LOCATION:Century City Conference Centre 1/1-8+9 - Room 8+9 URL:https://events.chpc.ac.za/event/155/contributions/3056/ END:VEVENT BEGIN:VEVENT SUMMARY:Ocean Modelling at the CHPC: Advancing Southern Ocean and Climate Research DTSTART;VALUE=DATE-TIME:20251203T092000Z DTEND;VALUE=DATE-TIME:20251203T094000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2918@events.chpc.ac.za DESCRIPTION:Speakers: Nicolette Chang (CSIR)\nHigh-performance computing i s critical for understanding the ocean’s role in Earth’s climate syste m. The Southern Ocean\, in particular\, plays a vital role in regulating g lobal climate through the transport and exchange of heat and carbon\, yet it is one of the most computationally demanding regions to model.\n\nThe S outhern Ocean Carbon-Climate Observatory (SOCCO)\, CSIR\, has developed a modelling framework that leverages NICIS-Centre for High Performance Compu ting (CHPC) resources to simulate the Southern Ocean at high spatial and t emporal resolution. Through a hierarchy of coupled ocean-ice-biogeochemica l model configurations\, we investigate physical ocean and carbon-cycle pr ocesses driving air–sea CO₂ exchange\, storm-driven variability\, and ecosystem responses in a changing climate.\n\nThe flagship configuration\, BIOPERIANT12\, is a high resolution model domain that spans the Southern Hemisphere south of 30°S. It represents a complex and scalable computatio nal challenge requiring significant HPC resources for multi-year simulatio ns. Beyond computational cost of the model experiments\, key challenges in clude the efficient analysis and management of the multi-terabyte outputs and the subsequent derived analysis datasets.\n\nSOCCO demonstrates how us e of national HPC infrastructure enables cutting-edge Southern Ocean and c limate research\, while providing transferable insights for earth system m odelling and supporting the training of future earth system modellers and researchers.\n\nhttps://events.chpc.ac.za/event/155/contributions/2918/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/2918/ END:VEVENT BEGIN:VEVENT SUMMARY:Openstack part 1 DTSTART;VALUE=DATE-TIME:20251130T113000Z DTEND;VALUE=DATE-TIME:20251130T130000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3037@events.chpc.ac.za DESCRIPTION:This hands-on workshop introduces participants to both using a nd managing virtual resources within an OpenStack Cloud environment. Parti cipants will be introduced to the Horizon dashboard and how to create reso urces via that web-based interface. Then\, participants will be taken thro ugh the steps to alternatively define their resources as code\, using Terr aform and GitLab to create and manage the latter. By the end\, participant s will have built some virtual resources within OpenStack containing the a pplications that they decided to deploy\, using one of the methods indicat ed above. \n\nRequirements: Each participant should bring their laptop alo ng\, have access to a Unix-friendly terminal/command-line interface\, and have git and Terraform pre-installed.\n\nThere are limited places in this workshop. Please sign up by 28 November at \n\nhttps://forms.office.com/r /0983aQqdmj\n\nhttps://events.chpc.ac.za/event/155/contributions/3037/ LOCATION:Century City Conference Centre 1/1-2 - Room 2 URL:https://events.chpc.ac.za/event/155/contributions/3037/ END:VEVENT BEGIN:VEVENT SUMMARY:Quantum Machine Learning for Africa part 3 DTSTART;VALUE=DATE-TIME:20251130T153000Z DTEND;VALUE=DATE-TIME:20251130T173000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3052@events.chpc.ac.za DESCRIPTION:https://events.chpc.ac.za/event/155/contributions/3052/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/3052/ END:VEVENT BEGIN:VEVENT SUMMARY:Quantum Machine Learning for Africa part 2 DTSTART;VALUE=DATE-TIME:20251130T133000Z DTEND;VALUE=DATE-TIME:20251130T150000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3051@events.chpc.ac.za DESCRIPTION:https://events.chpc.ac.za/event/155/contributions/3051/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/3051/ END:VEVENT BEGIN:VEVENT SUMMARY:The South African 110K Human Genome Program: Enabling a Big Data i n Health Environment for African Personalised Medicine DTSTART;VALUE=DATE-TIME:20251203T074500Z DTEND;VALUE=DATE-TIME:20251203T083000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3049@events.chpc.ac.za DESCRIPTION:Speakers: Rizwana Mia (South African Medical Research Council) \nSince 2016\, the South African Medical Research Council (SAMRC) and the Department of Science and Innovation (DSI) have partnered to advance genom ic and precision medicine research and innovation in South Africa. South Africa is embarking on a pioneering journey to transform its healthcare la ndscape through the South African 110K Human Genome Program. This ambitiou s initiative aims to leverage the existing talent pool and infrastructure to sequence 110\,000 human genomes\, creating a comprehensive database tha t will revolutionize personalized medicine in the country. \nUnderstandin g the genetic diversity of the South African population\, Scientists and h ealthcare professionals can develop targeted treatments and interventions\ , leading to improved health outcomes and a more equitable healthcare syst em. This presentation will delve into the program's approach\, highlightin g the commencement of a pilot phase that aims to sequence 10\,000 genomes from existing cohorts. Drawing from benchmarked large-scale genome program s globally. We will discuss the program's alignment with the National Deca dal Plan\, its potential to address health disparities\, and its critical role in establishing robust big data for health environment. Furthermore\ , we will explore the program's contribution to economic growth\, social d evelopment\, and the creation of a capable state equipped to manage and su pport advanced scientific research. \nJoin us to discover how the South African 110K Human Genome Program is paving the way for a future where pe rsonalized medicine could be a reality for all South Africans.\n\nhttps:// events.chpc.ac.za/event/155/contributions/3049/ LOCATION:Century City Conference Centre 1/0-AB - Hall A+B URL:https://events.chpc.ac.za/event/155/contributions/3049/ END:VEVENT BEGIN:VEVENT SUMMARY:Hybrid Stacking and Embedded Regression with Multi-Phase Feature S election for Explainable Crop Yield Prediction in Botswana DTSTART;VALUE=DATE-TIME:20251203T133500Z DTEND;VALUE=DATE-TIME:20251203T135000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2959@events.chpc.ac.za DESCRIPTION:Speakers: Kalu Ubi Kalu (University of Botswana)\, George And erson (Co-Author)\, Audrey Masizana (University of Botswana)\nHybrid Stac king and Embedded Regression with Multi-Phase Feature Selection for Explai nable Crop Yield Prediction in Botswana \nAbstract \nIn Sub-Saharan Africa 's climate instability\, inaccurate data\, and lack of precision agricultu ral tools make it extremely difficult to predict crop yields with any degr ee of accuracy. These restrictions are especially critical in Botswana\, w here most agricultural activities are rain-fed and highly vulnerable to en vironmental changes. To provide accurate\, comprehensible\, and context-sp ecific yield predictions for four staple crops: Maize\, Millet\, Pulses\, and Sorghum. This study uses a hybrid machine learning approach. The appro ach integrates multiple regression algorithms: Random Forest\, XGBoost\, S upport Vector Regression\, and Multi-Layer Perceptron within a stacked ens emble architecture tailored to Botswana’s agricultural data context. To optimize predictive power and interpretability\, a multi-phase feature sel ection strategy was applied\, combining entropy filtering\, mutual informa tion\, recursive feature elimination (RFE)\, and engineered temporal featu res through lag variables. \nThis process refined input variables for both the staging models and region-specific selection\, ensuring robust model generalization. Model performance was evaluated using historical yield\, m eteorological\, and soil datasets\, with R²\, RMSE\, and MAE employed as metrics. The Stacking Hybrid Regression Model performed exceptionally well in yield prediction for pulses and sorghum\, achieving the best performan ce with R2 = 0.94\, RMSE = 0.60 t/ha\, and MAE = 0.32 t/ha. The most signi ficant predictors were rainfall\, temperature fluctuation\, and lagged yie ld values\, according to a unified interpretability framework that was pro duced by combining SHapley Additive exPlanations (SHAP) with entropy analy sis. Surprisingly\, entropy research showed that Sorghum had a greater pre dictor complexity and shown the ability to adjust to unpredictable weather . Time-horizon stability of the model was confirmed by forward simulations for 2025–2028. \nThese results confirm that interpretable hybrid ensemb les can satisfy precision agriculture's accuracy and transparency requirem ents when reinforced by multi-phase feature selection. The suggested appro ach supports climate risk management tactics for Botswana's farmers by pro viding useful information for early-season production projection and input distribution. Additionally\, other sub-Saharan regions with comparable en vironmental and data-related constraints may find the methodology applicab le. \nKeywords: predictive crop yield\, precision agriculture\, Botswana\, XAI\, multi-phase feature selection\, hybrid ensemble models\, and SHAP.\ n\nhttps://events.chpc.ac.za/event/155/contributions/2959/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/2959/ END:VEVENT BEGIN:VEVENT SUMMARY:Recognising South African Voices: A Multilingual ASR Pipeline DTSTART;VALUE=DATE-TIME:20251203T142000Z DTEND;VALUE=DATE-TIME:20251203T143500Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3048@events.chpc.ac.za DESCRIPTION:Speakers: Mahlatse Mbooi (CSIR)\nSouth Africa’s rich linguis tic diversity poses unique challenges for artificial intelligence systems\ , particularly in automatic speech recognition (ASR) where multilingual sp eakers frequently switch languages mid-conversation. This study proposes a robust ASR pipeline tailored for code-switched speech in health settings\ , addressing practical issues such as overlapping dialogue\, background no ise\, and inconsistent language usage. The pipeline will integrate multili ngual acoustic models and language-specific preprocessing techniques\, tra ined on a standardised dataset comprising South African languages includin g isiZulu\, Sepedi and English.\nBy focusing on pipeline design\, dataset standardisation and multilingual integration\, this work demonstrates how AI can be built to truly understand South African voices rather than ignor ing them. Structured and reproducible approaches to code-switched data lay the foundation for inclusive\, fair\, and context-aware AI that represent s local language communities and highlight the broader opportunities for l everaging multilingual data responsibly.\n\nhttps://events.chpc.ac.za/even t/155/contributions/3048/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/3048/ END:VEVENT BEGIN:VEVENT SUMMARY:Q & A DTSTART;VALUE=DATE-TIME:20251203T145000Z DTEND;VALUE=DATE-TIME:20251203T150500Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3047@events.chpc.ac.za DESCRIPTION:Speakers: Q & A ()\nQ & A\n\nhttps://events.chpc.ac.za/event/1 55/contributions/3047/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/3047/ END:VEVENT BEGIN:VEVENT SUMMARY:Factors associated with sexually transmitted infection literacy am ong men who have sex with men and transgender people in Soweto: A machine learning approach DTSTART;VALUE=DATE-TIME:20251203T143500Z DTEND;VALUE=DATE-TIME:20251203T145000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2964@events.chpc.ac.za DESCRIPTION:Speakers: Claris Siyamayambo (University of Johannesburg)\nSex ually transmitted infections (STIs) remain a significant public health cha llenge in Sub-Saharan Africa (SSA)\, particularly among key populations su ch as men who have sex with men (MSM) and transgender individuals. This st udy aimed to assess the level of STI literacy within this population\, ide ntify its demographic\, behavioral\, and structural predictors\, and explo re its influence on knowledge\, attitudes\, behaviors\, and healthcare-see king. A retrospective observational mixed-methods approach was employed\, combining logistic regression\, structural equation modeling (SEM)\, and e xplainable machine learning (SHAP) to analyze data collected from 1\,240 M SM and transgender individuals in Soweto\, South Africa. The main outcome variable\, STI literacy\, was operationalized both as a composite score (b inary: high and low) and as a categorical label (1 and 0)\, enabling both inferential and predictive modeling. Results revealed that 28.1% of parti cipants demonstrated adequate STI literacy. Key positive predictors includ ed younger age\, prior STI testing\, higher education\, being single or ma rried\, female gender identity\, and personal STI history. In contrast\, o lder age\, unemployment\, lower education\, substance use\, and frequent s exual activity were associated with lower literacy. Structural equation mo deling illuminated how STI testing experience acts as a cue to action\, wh ile stigma\, cost\, and fear serve as barriers. SHAP analysis confirmed th ese insights\, highlighting modifiable predictors such as information-seek ing\, communication confidence\, and testing accessibility. The study's fi ndings were interpreted through Nutbeam’s Health Literacy Framework\, th e Health Belief Model (HBM)\, and the Theory of Planned Behavior (TPB). Th ese frameworks helped contextualize the behavioral pathways linking sociod emographic factors to STI literacy and preventive actions. Notably\, TPB c onstructs such as subjective norms and perceived behavioral control were p articularly influential. This study contributes to the STI prevention lite rature by quantifying literacy gaps\, modeling predictive pathways\, and d emonstrating how behavioral theory and machine learning can inform targete d interventions. It recommends multi-level approaches that go beyond aware ness to address stigma\, build self-efficacy\, and enhance access to sexua l health services. These insights are vital for designing inclusive\, theo ry-driven public health strategies in SSA.\n\nhttps://events.chpc.ac.za/ev ent/155/contributions/2964/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/2964/ END:VEVENT BEGIN:VEVENT SUMMARY:SADiLaR's repository as a cyber-infrastructure: Improving data acc essibility for South African languages DTSTART;VALUE=DATE-TIME:20251203T140500Z DTEND;VALUE=DATE-TIME:20251203T142000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2963@events.chpc.ac.za DESCRIPTION:Speakers: Menno van Zaanen (South African Centre for Digital L anguage Resources)\nComputing processes typically require input data to pe rform actions\nthat generate output data. While input data can sometimes b e generated\ncomputationally\, it often originates from external sources. In Natural\nLanguage Processing and Digital Humanities\, this input is typ ically\nsourced from human activities\, including spoken or written langua ge\nand music.\n\nIn the current era of Large Language Models (LLMs) that provide\npractically usable tools\, access to appropriate training data is \nessential. These models generally perform better when larger data\ncolle ctions are available for training\, making data accessibility\ncrucial.\n\ nFor most South African languages\, only limited amounts of digitally\nacc essible data are available. Many existing data collections are\nsourced fr om government websites\, providing texts in highly specific\ngenres. Texts from diverse genres --- including newspaper articles\,\nliterary works\, and social media data --- are not openly accessible in\ndigital formats.\n \nThe SADiLaR (South African Centre for Digital Language Resources)\nrepos itory hosts data collections that are as openly accessible as\npossible. T he repository currently contains 357 directly downloadable\nitems and 56 m etadata-only items (indicating the existence of data\ncollections).\n\nThe underlying principle of SADiLaR's repository is that providing a\ncentral ized space for data collections makes them more easily findable\nand acces sible. (Additionally\, submitted data collections are\nrequested to be as interoperable and reusable as possible to ensure\nadherence to FAIR princ iples.)\n\nThis abstract serves as a call for action with two main objecti ves.\nFirst\, we encourage researchers to submit their digital language da ta\nto the SADiLaR repository. Contributing to the repository increases\nt he availability of South African language data\, making it more easily\nfi ndable and accessible. This data can then be used for training models\,\nu ltimately benefiting language users\, for example\, through the\ndevelopme nt of LLMs for these languages. (Note: copyright remains with\nthe origina l copyright owner\; contributing to the repository does not\ntransfer copy right ownership.)\n\nEach contribution to SADiLaR's repository receives a persistent\nidentifier\, enabling consistent referencing of data collectio ns. These\nidentifiers can be used as citations in publications\, ultimate ly\nbenefiting researchers associated with the data collections.\n\nSecond \, we encourage researchers to utilize the data collections\navailable in SADiLaR's repository. The repository contains a wealth of\nuseful data col lections\, and searching there first can streamline\nresearch processes. S ADiLaR's repository exists to facilitate work in\nNatural Language Process ing and Digital Humanities\; collectively\, we\ncan leverage this cyber-in frastructure to advance our fields.\n\nhttps://events.chpc.ac.za/event/155 /contributions/2963/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/2963/ END:VEVENT BEGIN:VEVENT SUMMARY:Computational Model for Identifying Sepitori in Multilingual Texts DTSTART;VALUE=DATE-TIME:20251203T135000Z DTEND;VALUE=DATE-TIME:20251203T140500Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2961@events.chpc.ac.za DESCRIPTION:Speakers: Dan Masethe (Tshwane University of Technology)\nThe Sepitori language (also known as Pitori or Pretoria Sotho) is a dynamic an d evolving creole language predominantly spoken in urban townships of Pret oria\, South Africa. It blends Setswana\, Sesotho\, Afrikaans\, and Englis h\, with frequent instances of code-switching and slang. Despite its wides pread usage\, Sepitori remains underrepresented in natural language proces sing (NLP) tasks\, particularly in language identification and text proces sing.\n\nThis paper proposes the development of a Sepitori Language Identi fication (ID) Model\, designed to classify and distinguish Sepitori text f rom other South African languages. The model addresses the unique challeng es of multi-language mixing\, informal vocabulary\, and varying dialects w ithin the Sepitori speech community. By leveraging machine learning techni ques and deep learning models\, including convolutional neural networks (C NN) and transformer-based models (e.g.\, BERT)\, the model utilizes a larg e-scale corpus of annotated Sepitori\, Setswana\, Sesotho\, Afrikaans\, an d English samples. The model incorporates multiple linguistic features\, s uch as n-grams\, word embeddings\, and syntactic patterns\, to accurately identify Sepitori text\, even when it involves heavy code-switching or sla ng.\n\nThis work contributes to the linguistic field by providing a novel computational tool for processing Sepitori\, enabling the automatic detect ion of Sepitori in a variety of contexts\, including social media\, web sc raping\, and corpus development. It also lays the foundation for improving language resources for underserved African languages\, with potential app lications in speech recognition\, machine translation\, and sentiment anal ysis. The model is expected to improve the accessibility and representatio n of Sepitori in digital and computational platforms\, fostering greater i nclusivity for African language speakers in the digital age.\n\nhttps://ev ents.chpc.ac.za/event/155/contributions/2961/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/2961/ END:VEVENT BEGIN:VEVENT SUMMARY:SADC Cyber-Infrastructure Meeting — Session 4 DTSTART;VALUE=DATE-TIME:20251130T133000Z DTEND;VALUE=DATE-TIME:20251130T150000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3043@events.chpc.ac.za DESCRIPTION:Detailed programme:\n\nhttps://events.chpc.ac.za/event/155/att achments/260/500/15_SADC_CI_Experts_Meeting_Draft_Agenda__30_Nov_2025.pdf\ n\nhttps://events.chpc.ac.za/event/155/contributions/3043/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/3043/ END:VEVENT BEGIN:VEVENT SUMMARY:SADC Cyber-Infrastructure Meeting — Session 3 DTSTART;VALUE=DATE-TIME:20251130T113000Z DTEND;VALUE=DATE-TIME:20251130T130000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3042@events.chpc.ac.za DESCRIPTION:Detailed programme:\n\nhttps://events.chpc.ac.za/event/155/att achments/260/500/15_SADC_CI_Experts_Meeting_Draft_Agenda__30_Nov_2025.pdf\ n\nhttps://events.chpc.ac.za/event/155/contributions/3042/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/3042/ END:VEVENT BEGIN:VEVENT SUMMARY:SADC Cyber-Infrastructure Meeting — Session 2 DTSTART;VALUE=DATE-TIME:20251130T090000Z DTEND;VALUE=DATE-TIME:20251130T103000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3041@events.chpc.ac.za DESCRIPTION:Detailed progremme:\n\nhttps://events.chpc.ac.za/event/155/att achments/260/500/15_SADC_CI_Experts_Meeting_Draft_Agenda__30_Nov_2025.pdf\ n\nhttps://events.chpc.ac.za/event/155/contributions/3041/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/3041/ END:VEVENT BEGIN:VEVENT SUMMARY:AI: Custom chatbot to build a RAG part 2 DTSTART;VALUE=DATE-TIME:20251130T090000Z DTEND;VALUE=DATE-TIME:20251130T103000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3039@events.chpc.ac.za DESCRIPTION:https://events.chpc.ac.za/event/155/contributions/3039/ LOCATION:Century City Conference Centre 1/1-2 - Room 2 URL:https://events.chpc.ac.za/event/155/contributions/3039/ END:VEVENT BEGIN:VEVENT SUMMARY:Openstack part 2 DTSTART;VALUE=DATE-TIME:20251130T133000Z DTEND;VALUE=DATE-TIME:20251130T150000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3038@events.chpc.ac.za DESCRIPTION:See the description for part 1 to sign up.\n\nPlaces are limit ed.\n\nhttps://events.chpc.ac.za/event/155/contributions/3038/ LOCATION:Century City Conference Centre 1/1-2 - Room 2 URL:https://events.chpc.ac.za/event/155/contributions/3038/ END:VEVENT BEGIN:VEVENT SUMMARY:Materials Modelling using DFT DTSTART;VALUE=DATE-TIME:20251130T133000Z DTEND;VALUE=DATE-TIME:20251130T150000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3035@events.chpc.ac.za DESCRIPTION:part 2\n\nhttps://events.chpc.ac.za/event/155/contributions/30 35/ LOCATION:Century City Conference Centre 1/1-10 - Room 10 URL:https://events.chpc.ac.za/event/155/contributions/3035/ END:VEVENT BEGIN:VEVENT SUMMARY:Microkinetic Modelling with ML Potentials DTSTART;VALUE=DATE-TIME:20251130T090000Z DTEND;VALUE=DATE-TIME:20251130T103000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3034@events.chpc.ac.za DESCRIPTION:contunues\n\nhttps://events.chpc.ac.za/event/155/contributions /3034/ LOCATION:Century City Conference Centre 1/1-10 - Room 10 URL:https://events.chpc.ac.za/event/155/contributions/3034/ END:VEVENT BEGIN:VEVENT SUMMARY:Q & A DTSTART;VALUE=DATE-TIME:20251203T102000Z DTEND;VALUE=DATE-TIME:20251203T103000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3032@events.chpc.ac.za DESCRIPTION:Speakers: Q & A ()\nhttps://events.chpc.ac.za/event/155/contri butions/3032/ LOCATION:Century City Conference Centre 1/1-8+9 - Room 8+9 URL:https://events.chpc.ac.za/event/155/contributions/3032/ END:VEVENT BEGIN:VEVENT SUMMARY:Vendor Presentation DTSTART;VALUE=DATE-TIME:20251203T100000Z DTEND;VALUE=DATE-TIME:20251203T102000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3031@events.chpc.ac.za DESCRIPTION:Speakers: Vendor Speaker (TBC) ()\nhttps://events.chpc.ac.za/e vent/155/contributions/3031/ LOCATION:Century City Conference Centre 1/1-8+9 - Room 8+9 URL:https://events.chpc.ac.za/event/155/contributions/3031/ END:VEVENT BEGIN:VEVENT SUMMARY:Vendor Presentation (TBC) DTSTART;VALUE=DATE-TIME:20251203T094000Z DTEND;VALUE=DATE-TIME:20251203T100000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3030@events.chpc.ac.za DESCRIPTION:Speakers: Vendor Speaker (TBC) ()\nhttps://events.chpc.ac.za/e vent/155/contributions/3030/ LOCATION:Century City Conference Centre 1/1-8+9 - Room 8+9 URL:https://events.chpc.ac.za/event/155/contributions/3030/ END:VEVENT BEGIN:VEVENT SUMMARY:The Convergence of HPC and AI DTSTART;VALUE=DATE-TIME:20251203T092000Z DTEND;VALUE=DATE-TIME:20251203T094000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3029@events.chpc.ac.za DESCRIPTION:Speakers: Rick Koopman (Lenovo)\nLenovo Presentation\n\nhttps: //events.chpc.ac.za/event/155/contributions/3029/ LOCATION:Century City Conference Centre 1/1-8+9 - Room 8+9 URL:https://events.chpc.ac.za/event/155/contributions/3029/ END:VEVENT BEGIN:VEVENT SUMMARY:The Dell AI Factory-What it is and why it matters DTSTART;VALUE=DATE-TIME:20251203T090000Z DTEND;VALUE=DATE-TIME:20251203T092000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3028@events.chpc.ac.za DESCRIPTION:Speakers: Ryan Rautenbach (Dell)\nAccelerating your innovation with the Dell AI Factory\n\nhttps://events.chpc.ac.za/event/155/contribut ions/3028/ LOCATION:Century City Conference Centre 1/1-8+9 - Room 8+9 URL:https://events.chpc.ac.za/event/155/contributions/3028/ END:VEVENT BEGIN:VEVENT SUMMARY:Q & A DTSTART;VALUE=DATE-TIME:20251201T125000Z DTEND;VALUE=DATE-TIME:20251201T130000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3027@events.chpc.ac.za DESCRIPTION:Speakers: Q & A ()\nhttps://events.chpc.ac.za/event/155/contri butions/3027/ LOCATION:Century City Conference Centre 1/1-8+9 - Room 8+9 URL:https://events.chpc.ac.za/event/155/contributions/3027/ END:VEVENT BEGIN:VEVENT SUMMARY:Q & A DTSTART;VALUE=DATE-TIME:20251202T102000Z DTEND;VALUE=DATE-TIME:20251202T103000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3022@events.chpc.ac.za DESCRIPTION:Speakers: Q & A ()\nQ & A\n\nhttps://events.chpc.ac.za/event/1 55/contributions/3022/ LOCATION:Century City Conference Centre 1/1-2 - Room 2 URL:https://events.chpc.ac.za/event/155/contributions/3022/ END:VEVENT BEGIN:VEVENT SUMMARY:Digital Leadership in the Age of AI: Reframing Human Agency and In stitutional Foresight in High-Performance Computing Futures DTSTART;VALUE=DATE-TIME:20251202T100000Z DTEND;VALUE=DATE-TIME:20251202T102000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3021@events.chpc.ac.za DESCRIPTION:Speakers: Wouter Grove (UWC)\nDigital leadership is emerging a s the decisive competence of our time — the ability to align human insig ht\, computational capacity\, and organisational purpose in a world shaped by. This session explores what it means to lead when cognition\, creativi ty\, and computation are increasingly interwoven.\n\nFar from being a tech nical role\, digital leadership represents a new epistemic orientation — one that combines systems intelligence\, ethical discernment\, and strate gic agility to navigate the accelerating feedback loops between human deci sion-making and machine learning. It requires leaders to cultivate literac ies that span from data ethics and digital inclusion to the responsible de ployment of AI and HPC infrastructures.\n\n\nDrawing from applied research and practice at the UWC CoLab for e-Inclusion and Social Innovation and t he Samsung-funded Future-Innovation Lab\, the presentation will examine ho w digital leadership is being developed within South Africa’s higher-edu cation and innovation ecosystems. It will illustrate how next-generation l eaders are being prepared to operate at the interface of human capability development\, institutional transformation\, and computational scale — w here digital foresight becomes a form of national competence.\n\nUltimatel y\, the session argues that digital leadership is not about mastering tech nology but about shaping the conditions under which technology serves huma n and societal flourishing in the era of artificial intelligence.\n\nhttps ://events.chpc.ac.za/event/155/contributions/3021/ LOCATION:Century City Conference Centre 1/1-2 - Room 2 URL:https://events.chpc.ac.za/event/155/contributions/3021/ END:VEVENT BEGIN:VEVENT SUMMARY:Creating a Sovereign Cloud Platform for South Africa DTSTART;VALUE=DATE-TIME:20251202T094000Z DTEND;VALUE=DATE-TIME:20251202T100000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3020@events.chpc.ac.za DESCRIPTION:Speakers: David Macleod (CHPC)\nSovereign cloud is an increasi ngly important topic. Nations and businesses are realising that cloud solu tions provided by foreign companies\, even when deployed in South Africa\, are subject to foreign laws. These laws enable states compel these compan ies to provide data from users of cloud platforms regardless of where they are deployed. In addition\, geopolitics has become erratic and vindictive . Trade barriers are erected and removed at a whim creating substantial un certainty. This is unstable ground on which to build infrastructure of nat ional importance. NICIS\, as a provider of cyberinfrastructure\, has exper ience localising technology and building services for the research communi ty. This talk explores NICIS’ efforts to address the lack of a sovereign cloud platform in South Africa and the progress that has been made.\n\nht tps://events.chpc.ac.za/event/155/contributions/3020/ LOCATION:Century City Conference Centre 1/1-2 - Room 2 URL:https://events.chpc.ac.za/event/155/contributions/3020/ END:VEVENT BEGIN:VEVENT SUMMARY:Transforming Health Logistics through Digital Leadership: Rwanda ’s Drone Delivery flagship project. DTSTART;VALUE=DATE-TIME:20251202T092000Z DTEND;VALUE=DATE-TIME:20251202T094000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3019@events.chpc.ac.za DESCRIPTION:Speakers: Peter Weimann ()\nDigital leadership is crucial for driving innovation and transformation in health systems across Africa. Thi s case study examines the implementation of drone technology for deliverin g medical supplies in Rwanda\, demonstrating how strategic digital leaders hip facilitated the successful integration of this technology into the cou ntry's health logistics system. Through interviews and document analysis\, the study explores how leaders at the Ministry of Health\, Rwanda in coll aboration with private partners (Zipline\, Rwanda)\, fostered a culture of digital readiness\, agility and data-driven decision-making. The findings reveal that visionary leadership\, cross-sectoral collaboration and adapt ive governance were key to scaling up drone-based delivery networks that n ow supply remote hospitals with life-saving medical products. The study co ncludes that Rwanda’s experience demonstrates how digital leadership can overcome infrastructure limitations\, promote health equity\, and acceler ate digital transformation in areas with limited resources.\n\nhttps://eve nts.chpc.ac.za/event/155/contributions/3019/ LOCATION:Century City Conference Centre 1/1-2 - Room 2 URL:https://events.chpc.ac.za/event/155/contributions/3019/ END:VEVENT BEGIN:VEVENT SUMMARY:Emergent Leadership in Digital Public Infrastructure: A Practice N exus Approach to Sociotechnical Transformation in South Africa DTSTART;VALUE=DATE-TIME:20251202T090000Z DTEND;VALUE=DATE-TIME:20251202T092000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3018@events.chpc.ac.za DESCRIPTION:Speakers: Mervyn Christoffels (CHPC)\nDigital transformation i n the public sector needs more than just technology\; it requires a new un derstanding of leadership. This presentation examines how leadership is pr actised within South Africa’s Centre for High-Performance Computing (CHP C)\, a national facility driving the country’s digital research agenda.\ n\nBuilding on the Leadership-as-Practice (L-A-P) framework and expanded t hrough the Practice Nexus and Contextual Modulators\, this study explores leadership as a collective\, relational\, and materially mediated activity . Using a qualitative phenomenological case study\, it examines how leader ship arises through dialogue\, improvisation\, and the interaction between human and AI actors.\n\nThe research introduces the concept of bricolage leadership\, developed within the context of institutional constraints and technological complexity. \nFindings show how AI tools serve as co-consti tutive agents\, shaping coordination and sensemaking within national digit al infrastructures\n\nhttps://events.chpc.ac.za/event/155/contributions/30 18/ LOCATION:Century City Conference Centre 1/1-2 - Room 2 URL:https://events.chpc.ac.za/event/155/contributions/3018/ END:VEVENT BEGIN:VEVENT SUMMARY:Q & A DTSTART;VALUE=DATE-TIME:20251201T102000Z DTEND;VALUE=DATE-TIME:20251201T103000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3017@events.chpc.ac.za DESCRIPTION:Speakers: Q & A ()\nQ & A\n\nhttps://events.chpc.ac.za/event/1 55/contributions/3017/ LOCATION:Century City Conference Centre 1/1-8+9 - Room 8+9 URL:https://events.chpc.ac.za/event/155/contributions/3017/ END:VEVENT BEGIN:VEVENT SUMMARY:Cloud based urban planning decision support DTSTART;VALUE=DATE-TIME:20251202T092000Z DTEND;VALUE=DATE-TIME:20251202T094000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3015@events.chpc.ac.za DESCRIPTION:Speakers: Carike Karsten* (CSIR)\nUrban areas across South Afr ica face increasing pressure to plan for sustainable growth and service de livery amid rapid change. The Urban and Regional Dynamics research group a t the CSIR develops city- and provincial-level simulation and decision-sup port tools to assist planners and policymakers in exploring long-term urba n development scenarios. These models integrate spatial\, economic\, and d emographic data\, requiring significant computational capacity for process ing and visualisation. Access to the CHPC infrastructure has been critical in enabling the scalability of these systems and providing reliable\, sha red access for multiple users across municipalities and provinces. This ta lk outlines the computing challenges and successes encountered from handli ng large geospatial datasets to deploying interactive web-based interfaces and presents key research outcomes that demonstrate how cloud-based syste ms can strengthen data-driven urban planning and decision-making.\n\nhttps ://events.chpc.ac.za/event/155/contributions/3015/ LOCATION:Century City Conference Centre 1/1-8+9 - Room 8+9 URL:https://events.chpc.ac.za/event/155/contributions/3015/ END:VEVENT BEGIN:VEVENT SUMMARY:A first principle study of thermoelectric properties of some chalc ogenides materials DTSTART;VALUE=DATE-TIME:20251203T100000Z DTEND;VALUE=DATE-TIME:20251203T102000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3014@events.chpc.ac.za DESCRIPTION:Speakers: Moshibudi Ramoshaba (university of Limpopo)\nM Ramos haba\, T E Mosuang\nDepartment of Physics\, University of Limpopo\, Privat e Bag x1106\, Sovenga\, 0727\, South Africa\nE-mail: moshibudi.ramoshaba@u l.ac.za\n\nThermoelectric chalcogenide materials exhibit promising propert ies\, making them suitable for energy\nconversion and cooling applications . Thermoelectric (TE) materials have attracted significant interest\ndue t o their potential for energy harvesting and conservation. For a material t o be considered an\nefficient thermoelectric material\, it must possess lo w thermal conductivity\, high electrical\nconductivity\, a high Seebeck co efficient\, and a high power factor. These characteristics contribute to\n strong thermoelectric performance\, leading to a favorable figure of merit (ZT). Although several\npromising bulk semiconductors have been reported by researchers\, no satisfactorily high ZT values\nhave yet been achieved. Chalcogenide semiconductors may provide a solution to this challenge. Usi ng\ndensity functional theory (DFT) and Boltzmann transport theory\, the t hermoelectric properties of\nselected chalcogenide materials (Cu₂S\, Cu ₂Se\, InS\, and InSe) were analyzed. These studies revealed\nstrong ther moelectric performance\, as the predicted maximum ZT values indicated high efficiency in\nthese materials.\n\nhttps://events.chpc.ac.za/event/155/co ntributions/3014/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/3014/ END:VEVENT BEGIN:VEVENT SUMMARY:Federated Computing for Health Data Science in Africa DTSTART;VALUE=DATE-TIME:20251203T141000Z DTEND;VALUE=DATE-TIME:20251203T143000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2926@events.chpc.ac.za DESCRIPTION:Speakers: Takudzwa Nyasha Musarurwa (University of Cape Town - eLwazi ODSP)\nThere is a great need to develop computing infrastructure t o support the increased application of data science and health informatics across Africa which includes robust data sharing and federated computing\ , whilst fostering research collaboration. The Global Alliance for Genomic s and Health (GA4GH\; https://www.ga4gh.org/) aims to promote responsible data sharing standards through the use of open\, community derived standar ds and APIs such as Data Repository Service (DRS)\, Workflow Execution Se rvice (WES)\, Data Connect\, Passports and Tool Registry Service (TRS)\, a mongst others. The DRS API provides a generic interface to access data in repositories. The data is discovered through the Data Connect API which su pports federated search of different kinds of data. The WES API provides a standardized approach for accessing computing resources with use of repro ducible workflows\, usually housed in a tools registry service such as Doc kstore (https://dockstore.org/). The eLwazi Open Data Science Platform (OD SP) has undertaken a pilot implementation of the GA4GH standards with the aim of delivering a federated framework for data discovery and analysis wi thin Africa for the DS-I Africa consortium. The eLwazi GA4GH pilot project was started in June 2023 as an outcome of a training hackathon by the eLw azi ODSP Infrastructure work group in collaboration with the GA4GH. The ma in goal of the GA4GH pilot project is to enable the findable\, accessible\ , interoperable and reusable (FAIR) principles for data discovery and anal ysis. Four sites within Africa (Ilifu - South Africa\, ACE Lab - Mali\, AC E Lab - Uganda and UVRI - Uganda) are currently hosting the different API endpoints for authorized data discovery and analysis. From within the proj ect we can locate DRS datasets using the Data Connect API\, use workflows from Dockstore via the TRS API for reproducible analysis\, and submit it t o the WES API for analysis without the data leaving the actual location\, which provides a technical solution for data analysis within legislative d ata protection constraints. We are now in the process of developing a fede rated approach for the imputation of African genomics data as a GA4GH impl ementation forum (GIF) project collaboration based on the lessons from the pilot GA4GH implementation project.\n\nhttps://events.chpc.ac.za/event/15 5/contributions/2926/ LOCATION:Century City Conference Centre 1/1-8+9 - Room 8+9 URL:https://events.chpc.ac.za/event/155/contributions/2926/ END:VEVENT BEGIN:VEVENT SUMMARY:Integrating High-Performance Computing and Deep Learning for Big D ata-Driven Cyberinfrastructure: A Framework for Scalable AI Research in Af rican Research Institutions DTSTART;VALUE=DATE-TIME:20251203T143000Z DTEND;VALUE=DATE-TIME:20251203T145000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2937@events.chpc.ac.za DESCRIPTION:Speakers: Olalekan Samuel Ogunleye (University of Mpumalanga)\ nThe proliferation of Artificial Intelligence (AI)\, data-driven research\ , and digital transformation has increased the global demand for powerful computing infrastructures capable of processing and analyzing enormous vol umes of data. High-Performance Computing (HPC) has emerged as the cornerst one of this evolution\, enabling researchers to perform complex simulation s\, accelerate model training\, and analyze Big Data at unprecedented scal es. Yet\, across many African universities\, access to such advanced compu ting capabilities remains severely limited\, constraining the ability of s cientists to participate meaningfully in global AI and data science innova tion. This paper explores the strategic integration of HPC technologies wi th deep learning architectures to establish a sustainable\, Big Data-drive n cyberinfrastructure model tailored for African academic environments.\n\ nDrawing inspiration from the ongoing efforts at the University of Mpumala nga (UMP) and the Council for Scientific and Industrial Research (CSIR)\, the study proposes a framework that connects HPC systems with scalable AI workflows in areas such as agriculture\, climate modelling\, energy\, and cybersecurity. The framework emphasizes distributed GPU-accelerated cluste rs\, containerized computing environments\, and job scheduling mechanisms that allow multiple research teams to run parallel deep learning experimen ts efficiently. Beyond the technical dimension\, the paper highlights the importance of local capacity development\, collaboration\, and institution al investment as key drivers for long-term sustainability. By showcasing h ow HPC can shorten AI model training times\, enhance predictive accuracy\, and improve data management efficiency\, this research demonstrates that advanced computation is not merely a luxury for developed nations but an a ttainable enabler of scientific independence for African universities.\n\n The findings underscore that the convergence of HPC and AI can transform r esearch productivity\, foster interdisciplinary collaboration\, and suppor t evidence-based policymaking in sectors critical to Africa’s developmen t. Ultimately\, the paper advocates for the creation of a federated HPC-AI ecosystem across African institutions\, allowing shared access to\ncomput ational resources\, open datasets\, and research expertise. Such an ecosys tem would democratize access to cutting-edge technologies\, close the digi tal divide\, and position African researchers as active contributors to th e global knowledge economy rather than passive consumers. Through this int egrative perspective\, the paper not only offers a technical blueprint for HPC-AI synergy but also presents a vision for empowering scientific innov ation\, data sovereignty\, and technological resilience within the African higher education landscape\n\nhttps://events.chpc.ac.za/event/155/contrib utions/2937/ LOCATION:Century City Conference Centre 1/1-8+9 - Room 8+9 URL:https://events.chpc.ac.za/event/155/contributions/2937/ END:VEVENT BEGIN:VEVENT SUMMARY:AASTU HPC-BDA Center: Advancing Cyber-Infrastructure for Data-to-D ecision Transformation in Africa DTSTART;VALUE=DATE-TIME:20251201T094000Z DTEND;VALUE=DATE-TIME:20251201T100000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2925@events.chpc.ac.za DESCRIPTION:Speakers: Adugna Woldesemayat (UNISA\; Addis Ababa Sci. & Tech . U.)\nThe newly established High-Performance Computing and Big Data Analy tics (HPC-BDA) Centre of Excellence at Addis Ababa Science and Technology University (AASTU) represents Ethiopia’s bold entry into the continental cyber-infrastructure landscape\, complementing South Africa’s CHPC and NICIS. Anchored in state-of-the-art laboratories spanning Business Analyti cs\, HPC & Cloud Systems\, Bioinformatics\, Agro-Informatics\, Computation al Science\, Cybersecurity\, and Meteorological Modelling\, the Centre emp loys a dual-layer strategy that couples foundational infrastructure with h igh-impact applications in agriculture\, healthcare\, climate resilience\, and the digital economy. By embedding bioinformatics and genomics with se cure\, INSA-supported data governance frameworks\, the Centre uniquely int egrates life sciences\, policy alignment\, and advanced computation into a ctionable decision systems. Positioned as a “Research Gravity Zone\,” it aspires to attract partnerships\, catalyze funding\, and advance Ethiop ia’s Digital Ethiopia 2025 and STI policy priorities\, while fostering r egional collaboration toward a pan-African HPC-BDA ecosystem that translat es data to decisions.\n\nHigh-Performance Computing (HPC) and Big Data Ana lytics (BDA) are rapidly transforming the global research and innovation l andscape\, enabling nations to turn massive data streams into actionable i nsights. \nWhile South Africa’s Centre for High Performance Computing (C HPC) has demonstrated continental leadership\, emerging ecosystems across Africa now have the opportunity to complement and expand this capacity. Th is presentation introduces the newly established HPC-BDA Centre at Addis A baba Science and Technology University (AASTU)\, Ethiopia\, as a strategic initiative designed to position Ethiopia as a\nregional knowledge hub.\nT he Center integrates state-of-the-art laboratories in Business Analytics\, Cloud & HPC Systems\, Bioinformatics\, Computational Science\, Agro-Infor matics\, Network & Cybersecurity\, and Meteorological Modelling. Its dual- layer strategy links advanced cyber-infrastructure with thematic domains o f national priority\, agriculture\, healthcare\, climate resilience\, and the digital economy. By embedding bioinformatics and genomics\, the Center uniquely connects life sciences with data-driven decision systems\, stren gthening Africa’s capacity for health security and food sustainability. Supported by the Information Network Security Administration (INSA)\, the Center also incorporates advanced cybersecurity and governance frameworks\ , ensuring ethical\, secure\, and policy-aligned use of HPC-BDA resources for both national and international collaboration.\n\nThe paper will highl ight how this ecosystem fuels data-to-decision pipelines through advanced HPC workflows\, robust partnerships\, and alignment with Digital Ethiopia 2025 and the national Science\, Technology\, and Innovation (STI) policy f ramework. Furthermore\, it will discuss the Center’s regional role in fo stering collaboration with continental cyber-infrastructure leaders\, incl uding CHPC and NICIS\, towards a pan-African HPC-BDA network.\n\nBy demons trating Ethiopia’s novel model of integrating cyber-infrastructure\, app lied research\, and innovation ecosystems\, the AASTU HPC-BDA Center aspir es to create a “Research Gravity Zone” in Africa\, an engine attractin g partnerships\, funding\, and global recognition while directly advancing the CHPC 2025 theme of From Data to Decisions.\n\nhttps://events.chpc.ac. za/event/155/contributions/2925/ LOCATION:Century City Conference Centre URL:https://events.chpc.ac.za/event/155/contributions/2925/ END:VEVENT BEGIN:VEVENT SUMMARY:® Building the Future: Morocco's High-Performance Computing Infra structure DTSTART;VALUE=DATE-TIME:20251201T090000Z DTEND;VALUE=DATE-TIME:20251201T092000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3012@events.chpc.ac.za DESCRIPTION:Speakers: Imad Kissami (Mohammed VI Polytechnic University)\nT his talk presents an overview of Morocco's emerging HPC ecosystem\, highli ghting national initiatives\, key infrastructure developments\, and the gr owing collaborations that drive computational research and innovation. A p articular focus will be given to Toubkal\, Morocco's flagship supercompute r\, which represents a major step forward in national computing capacity a nd supports applications in scientific research\, artificial intelligence\ , and industry. The presentation outlines the architecture and capabilitie s of Moroccan HPC centers and the broader vision for positioning Morocco a s a regional hub for advanced computing.\n\nImad Kissami\, College of Comp uting\, Mohammed VI Polytechnic University\n\nhttps://events.chpc.ac.za/ev ent/155/contributions/3012/ LOCATION:Century City Conference Centre 1/1-8+9 - Room 8+9 URL:https://events.chpc.ac.za/event/155/contributions/3012/ END:VEVENT BEGIN:VEVENT SUMMARY:Co-design and federation of computing services for AI and simulati on DTSTART;VALUE=DATE-TIME:20251203T133000Z DTEND;VALUE=DATE-TIME:20251203T135000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2924@events.chpc.ac.za DESCRIPTION:Speakers: Mark Wilkinson (STFC DiRAC HPC Facility / University of Leicester)\nThis presentation will focus on the collaborative\, quanti tative co-design approach to the deployment of large-scale computing servi ces adopted by the STFC DiRAC HPC Facility in the UK (www.dirac.ac.uk). Ov er the past 15 years\, successive generations of DiRAC services have demon strated how workflow-centred co-design can maximise the scientific impact of computing investments. The co-design of DiRAC services has ranged from silicon-level to system-level\, alongside extensive software development e ffort\, and has delivered significantly increased system capabilities. \n\ nI will also discuss how federation can deliver additional research capabi lities and optimise service exploitation\, while lowering the bar for acce ss to large-scale computing for new users.\n\nLooking to the future\, I wi ll explore how co-design can be used to develop cost-effective and energy- efficient heterogeneous computing ecosystems for AI and simulation.\n\nhtt ps://events.chpc.ac.za/event/155/contributions/2924/ LOCATION:Century City Conference Centre 1/1-8+9 - Room 8+9 URL:https://events.chpc.ac.za/event/155/contributions/2924/ END:VEVENT BEGIN:VEVENT SUMMARY:® Scalable Data Management Techniques for AI workloads DTSTART;VALUE=DATE-TIME:20251202T143000Z DTEND;VALUE=DATE-TIME:20251202T145000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3011@events.chpc.ac.za DESCRIPTION:Speakers: Bogdan Nicolae (Argonne National Laboratory)\nTitle: Scalable Data Management Techniques for AI workloads\n \nAbstract: The ad vent of complex AI workflows that involve large learning models (training using data/pipeline/tensor parallelism\, retrieval augmented generation\, chaining) has prompted the need for scalable system-level building blocks that enable running them efficiently at large scale on high end machines. Of particular interest in this context are data management techniques and their implementation that bridge the gap between high-level required capab ilities (fine-grain tensor access\, support for transfer learning and vers ioning\, streaming and transformation of training samples\, transparent au gmentation\, vector databases\, etc.) and the existing storage hierarchy ( parallel file systems\, node-local memories\, etc.). This talk discusses t he challenges and opportunities in the design and development of such tech niques and presents several results based on VELOC and DataStates\, two ef forts at ANL aimed at leveraging checkpointing to capture the evolution of datasets (including AI models and their training data).\n\nhttps://events .chpc.ac.za/event/155/contributions/3011/ LOCATION:Century City Conference Centre 1/1-8+9 - Room 8+9 URL:https://events.chpc.ac.za/event/155/contributions/3011/ END:VEVENT BEGIN:VEVENT SUMMARY:®Training ML algorithms on resource-constrained devices — a mem ory/storage perspective DTSTART;VALUE=DATE-TIME:20251202T141000Z DTEND;VALUE=DATE-TIME:20251202T143000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3010@events.chpc.ac.za DESCRIPTION:Speakers: Jalil Boukhobza (ENSTA\, Institut Polytechnique de P aris)\nTitle: Training ML algorithms on resource-constrained devices - a memory/storage perspective\n \nSummray:\nDeploying ML/AI algorithms on the edge is necessary for applications (e.g.\, security and surveillance\,\ni ndustrial IoT\, autonomous vehicles\, healthcare use cases\, ...) requirin g low latency\, data privacy or reduced costs. However\, most edge devices are not equipped with powerful memory systems to perform such memory and processing intensive applications. The objective of this presentation is t o show some optimization venues to unlock the memory/storage bottleneck of some ML/AI algorithms mainly from a learning perspective to deply them on low-resource devices. The optimizations presented in this talk could be a lso applied to whatever resource constrained device used for training\, be it cheap virtual machines on cloud infrastructures\, common personal comp uters or resource contrained micro datacenters.\n \nDeploying ML/AI algori thms at the edge is essential for applications such as security and survei llance\, industrial IoT\, autonomous vehicles\, and healthcare\, which req uire low latency\, data privacy\, or reduced costs. However\, most edge de vices lack powerful memory systems capable of handling the memory- and com putation-intensive nature of such applications.\nThe objective of this pre sentation is to highlight some optimization strategies that help overcome the memory and storage bottlenecks of ML/AI algorithms—mainly from a tra ining perspective—to enable their deployment on low-resource devices. Th ese optimizations can also be applied to any resource-constrained environm ent used for training\, including low-cost virtual machines in cloud infra structures\, standard personal computers\, or small-scale micro data cente rs.\n\nhttps://events.chpc.ac.za/event/155/contributions/3010/ LOCATION:Century City Conference Centre 1/1-8+9 - Room 8+9 URL:https://events.chpc.ac.za/event/155/contributions/3010/ END:VEVENT BEGIN:VEVENT SUMMARY:Challenges With Implementing FAIR Data Standards DTSTART;VALUE=DATE-TIME:20251202T133000Z DTEND;VALUE=DATE-TIME:20251202T135000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3008@events.chpc.ac.za DESCRIPTION:Speakers: Jay Lofstead* (IO500 Foundation)\nThe FAIR principle s have become the best practice for sharing artifacts\, such as data\, wit h the public. Findable\, Accessible\, Interoperable\, and Reusable each se em straightforward\, but as implementation details are worked through many difficult decisions and unclear meanings are revealed. This talk will loo k at common practices and challenges with implementing these principles wh en sharing digital artifacts.\n\nhttps://events.chpc.ac.za/event/155/contr ibutions/3008/ LOCATION:Century City Conference Centre 1/1-8+9 - Room 8+9 URL:https://events.chpc.ac.za/event/155/contributions/3008/ END:VEVENT BEGIN:VEVENT SUMMARY:Value-driven Artificial Intelligence\, Data and Natural Language P rocessing solutions built on the CHPC sovereign cloud infrastructure DTSTART;VALUE=DATE-TIME:20251202T100000Z DTEND;VALUE=DATE-TIME:20251202T102000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3009@events.chpc.ac.za DESCRIPTION:Speakers: Avi Moodley* (CSIR)\nThis talk is focused on providi ng an overview of the Artificial Intelligence\, Data Science and Natural L anguage Processing fields. The audience will be given a view of use cases and solutions that are being worked on at CSIR. This will be followed by a n overview of the impact that CHPC infrastructure has contributed to our N LP initiatives. Lastly\, we will briefly share perspectives to enable futu re success at the intersection of infrastructure and AI innovation.\n\nhtt ps://events.chpc.ac.za/event/155/contributions/3009/ LOCATION:Century City Conference Centre 1/1-8+9 - Room 8+9 URL:https://events.chpc.ac.za/event/155/contributions/3009/ END:VEVENT BEGIN:VEVENT SUMMARY:The State of SA NREN in 2025 DTSTART;VALUE=DATE-TIME:20251202T141000Z DTEND;VALUE=DATE-TIME:20251202T145000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3007@events.chpc.ac.za DESCRIPTION:Speakers: Ajay Makan (SANReN)\, Renier van Heerden (SANReN\, C SIR)\nThe State of SA NREN in 2025\n\nhttps://events.chpc.ac.za/event/155/ contributions/3007/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/3007/ END:VEVENT BEGIN:VEVENT SUMMARY:Building Trust for Research: Federations\, and the Blueprint Archi tecture. DTSTART;VALUE=DATE-TIME:20251202T133000Z DTEND;VALUE=DATE-TIME:20251202T135000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3005@events.chpc.ac.za DESCRIPTION:Speakers: Donald Coetzee (TENET)\nBuilding Trust for Research: Federations\, and the Blueprint Architecture.\n\nhttps://events.chpc.ac.z a/event/155/contributions/3005/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/3005/ END:VEVENT BEGIN:VEVENT SUMMARY:Scalability and Future-Proofing SANReN Network Infrastructure: Roa d to 400/800Gbps and AI-Driven Network Intelligence DTSTART;VALUE=DATE-TIME:20251202T123000Z DTEND;VALUE=DATE-TIME:20251202T125000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3004@events.chpc.ac.za DESCRIPTION:Speakers: Lebogo Kekana ()\nhttps://events.chpc.ac.za/event/15 5/contributions/3004/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/3004/ END:VEVENT BEGIN:VEVENT SUMMARY:Scalability and Future-Proofing SANReN Network Infrastructure: Roa d to 400/800Gbps and AI-Driven Network Intelligence DTSTART;VALUE=DATE-TIME:20251202T121000Z DTEND;VALUE=DATE-TIME:20251202T123000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3003@events.chpc.ac.za DESCRIPTION:Speakers: Yabin Zhang ()\nhttps://events.chpc.ac.za/event/155/ contributions/3003/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/3003/ END:VEVENT BEGIN:VEVENT SUMMARY:Scalable Network Observability DTSTART;VALUE=DATE-TIME:20251202T113000Z DTEND;VALUE=DATE-TIME:20251202T115000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3002@events.chpc.ac.za DESCRIPTION:Speakers: Gerrit Avenant (Dendrite Cyber)\nScalable Network Ob servability\n\nhttps://events.chpc.ac.za/event/155/contributions/3002/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/3002/ END:VEVENT BEGIN:VEVENT SUMMARY:Empowering Research Communities - Data Sovereignty and Skills Dev elopment for Managing Data DTSTART;VALUE=DATE-TIME:20251202T094000Z DTEND;VALUE=DATE-TIME:20251202T100000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3001@events.chpc.ac.za DESCRIPTION:Speakers: Miriam CHAHURUVA (Zimbabwe Research and Education Ne twork)\nEmpowering Research Communities - Data Sovereignty and Skills Dev elopment for Managing Data\n\nhttps://events.chpc.ac.za/event/155/contribu tions/3001/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/3001/ END:VEVENT BEGIN:VEVENT SUMMARY:Strategic Infrastructure and Partnerships for the Challenges of Pe tabyte/Exa-Scale Data and High-Speed Transfers in the SADC Region and Beyo nd DTSTART;VALUE=DATE-TIME:20251202T092000Z DTEND;VALUE=DATE-TIME:20251202T094000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-3000@events.chpc.ac.za DESCRIPTION:Speakers: Mthunzi Shabangu (Royal Science and Technology Park) \, Sicelo Nkambule (RSTP)\nStrategic Infrastructure and Partnerships for t he Challenges of Petabyte/Exa-Scale Data and High-Speed Transfers in the S ADC Region and Beyond\n\nhttps://events.chpc.ac.za/event/155/contributions /3000/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/3000/ END:VEVENT BEGIN:VEVENT SUMMARY:Strategic infrastructure investments and partnerships and how to m aximise private sector investments DTSTART;VALUE=DATE-TIME:20251202T090000Z DTEND;VALUE=DATE-TIME:20251202T092000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2999@events.chpc.ac.za DESCRIPTION:Speakers: Stein Mkandawire (Zambia Research and Education Netw ork (ZAMREN))\nStrategic infrastructure investments and partnerships and h ow to maximise private sector investments\n\nhttps://events.chpc.ac.za/eve nt/155/contributions/2999/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/2999/ END:VEVENT BEGIN:VEVENT SUMMARY:Correlating Memory\, Persistent\, and Runtime Evidence in Redis DTSTART;VALUE=DATE-TIME:20251202T143000Z DTEND;VALUE=DATE-TIME:20251202T150000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2998@events.chpc.ac.za DESCRIPTION:Speakers: Mary O. Adedayo (Applied Computer Science\, The Univ ersity of Winnipeg)\, Muhammad Abdul Moiz Zia ()\nDatabases are an importa nt source of digital evidence\, but most forensic methods and tools are fo cused on relational database systems. In-memory NoSQL databases\, such as Redis are harder to investigate because persistence files and logs record only part of the activity\, and volatile evidence exists in memory. This p aper presents a technique and parser to bring multiple Redis sources: memo ry snapshots\, RDB\, AOF\, MONITOR\, ACL logs\, and SLOWLOG together. Thre e experiments were carried out. The first tested recovery of short and lon g values from memory\, showing that command arguments can be extracted fro m an offset even when not preserved in persistence. The second measured co verage across individual sources and demonstrates that combining them give s a broader view of the investigation. The third examine a master-replica scenario\, where the parser recovers missing operations by matching memory with monitor logs. Our findings show that cross-source artifact correlati on improve completeness in Redis forensic analysis.\n\nhttps://events.chpc .ac.za/event/155/contributions/2998/ LOCATION:Century City Conference Centre 1/1-10 - Room 10 URL:https://events.chpc.ac.za/event/155/contributions/2998/ END:VEVENT BEGIN:VEVENT SUMMARY:Adaptive-Delta ADWIN for Real-Time Intrusion Detection in Evolving Network Streams DTSTART;VALUE=DATE-TIME:20251202T140000Z DTEND;VALUE=DATE-TIME:20251202T143000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2997@events.chpc.ac.za DESCRIPTION:Speakers: Rodney Buang Sebopelo ()\nIn dynamic network environ ments\, intrusion detection systems (IDS) must adapt to traffic network pa tterns despite the challenge of concept drift. Traditional drift detection methods\, such as ADWIN\, DDM\, and others\, face a challenge between sen sitivity and stability\, resulting in both delayed traffic attack detectio n and abnormal false alarms. To address this issue\, we propose a novel fr amework - Adaptive-Delta ADWIN\, which adjusts the ADWIN detector's delta parameter using two lightweight online controllers: Volatility Controller (VC) which adapts to fluctuations in prediction error\, and Alert-rate Con troller (ARC)\, which control the frequency of drift alarms. We merge the adaptive detector into streaming ensemble of Hoeffding Adaptive Trees and evaluate its performance against a fixed-delta baseline. The proposed metr ics: accuracy\, ROU-AUC\, F1-score are monitored in real time performance. The results from the experiment demonstrate the effectiveness and respons iveness of the Adaptive-Delta ADWIN framework in handling concept drift wh ile reducing false alarms and balancing sensitivity with stability in IDS streaming environments.\n\nhttps://events.chpc.ac.za/event/155/contributio ns/2997/ LOCATION:Century City Conference Centre 1/1-10 - Room 10 URL:https://events.chpc.ac.za/event/155/contributions/2997/ END:VEVENT BEGIN:VEVENT SUMMARY:A Qualitative Review of Zero-Knowledge Proofs and Biometrics in De centralized Identity Systems DTSTART;VALUE=DATE-TIME:20251202T133000Z DTEND;VALUE=DATE-TIME:20251202T140000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2996@events.chpc.ac.za DESCRIPTION:Speakers: Kedimotse Baruni ()\, Sthembile Ntshangase (Research er)\nThis paper presents a qualitative review on the integration of Zero-K nowledge Proofs (ZKPs) and biometrics in Decentralized Identity (DID) syst ems. It explores how these technologies address key challenges in digital identity management\, including privacy preservation\, security enhancemen t\, and regulatory compliance. Guided by three research questions\, the st udy systematically reviews recent literature to identify the problems thes e technologies solve\, the sectors where they are applied\, and the standa rds that govern their implementation. The review further reveals that ZKP- DID is the most widely adopted method\, dominating fi-nance and governance applications\, while Bio-DID focuses on healthcare and education under GD PR\, and BioZK-DID combines biometrics with ZKPs for enhanced security but with limited regulatory guidance. The findings reveal that ZKPs enable pr ivacy-preserving verification\, while biometrics offer robust user-specifi c authentication. Their integration within DID systems is particularly rel evant in sectors such as finance\, healthcare\, governance\, and education . However\, challenges remain in scalability\, interoperability\, and regu latory alignment. This paper contributes new insights by proposing technic al guidelines\, policy recommendations\, and future research directions to support the ethical and effective deployment of ZKP-biometric-enabled DID systems.\n\nhttps://events.chpc.ac.za/event/155/contributions/2996/ LOCATION:Century City Conference Centre 1/1-10 - Room 10 URL:https://events.chpc.ac.za/event/155/contributions/2996/ END:VEVENT BEGIN:VEVENT SUMMARY:Optimising Synthetic Data Generation for Cybersecurity Datasets DTSTART;VALUE=DATE-TIME:20251202T120000Z DTEND;VALUE=DATE-TIME:20251202T123000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2994@events.chpc.ac.za DESCRIPTION:Speakers: Christian K. Devraj ()\, Jan Eloff (University of Pr etoria)\nIn recent years\, cybercrimes have become more prevalent and impa ctful for all users of modern technology. Consequently\, various artificia l-intelligence-driven intrusion detection software have been implemented t o detect and prevent such cyberattacks. Some well-known tools include Micr osoft's Security Copilot and SentinelOne's Singularity. However\, such AI tools are of-ten difficult to train and maintain\, primarily because of th e lack of available cybersecurity datasets. Furthermore\, even when real c ybersecurity datasets are collected\, they may lack balance\, reliability\ , and variety\, making them inefficient for training AI intrusion detectio n tools. A trending solution to this predicament is synthetic data generat ion\, particularly for meeting commercial cyber-security dataset requireme nts. However\, synthetic data generation simply mimics the structure and c ontent of real datasets and often reproduces the poor characteristics of t he real datasets. Therefore\, this study proposes the inclusion of Data Qu ality Metrics and data optimisation techniques during the synthetic data g eneration process to improve the quality of synthetic cybersecurity datase ts. At the pinnacle of this research\, an optimal process for producing sy nthetic datasets for cybersecurity research is proposed.\n\nhttps://events .chpc.ac.za/event/155/contributions/2994/ LOCATION:Century City Conference Centre 1/1-10 - Room 10 URL:https://events.chpc.ac.za/event/155/contributions/2994/ END:VEVENT BEGIN:VEVENT SUMMARY:Unpacking the effects of Cyber Fraud on Financial Aid students in South Africa DTSTART;VALUE=DATE-TIME:20251202T113000Z DTEND;VALUE=DATE-TIME:20251202T120000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2993@events.chpc.ac.za DESCRIPTION:Speakers: Gershon Hutchinson ()\, Salah Kabanda (University of Cape Town)\nDue to the exponential growth of the internet\, cyber fraud h as become an increasingly prevalent issue globally\, and South Africa is n o exception. While several studies address cyber fraud victims\, limited r esearch has specifically examined students\, particularly those from disad vantaged backgrounds receiving the National Student Financial Aid Scheme ( NSFAS)\, as victims of cyber fraud. Financial aid is critical to enabling higher education for many South African students\, and it is therefore cru cial to understand the effects of cyber fraud on these students. This stud y has three key objectives: first\, to understand how South African higher education financial aid students perceive cyber fraud\; second\, to ident ify the perceived events that led to cyber fraud\; and finally\, to unders tand the effects of cyber fraud on this group of students. The study used a qualitative research design with purposive and snowball sampling to sel ect participants. Semi-structured interviews were used to elicit data from 30 participants. Thematic analysis was employed for data analysis. The fi ndings underscore the urgent need for training and awareness programs tail ored explicitly for financial aid students\, particularly those receiving financial aid for the first time. Beyond the immediate financial losses\, the study also highlights the adverse effects experienced by affected stud ents. It underscores the crucial role of support systems in determining st udents' academic success.\n\nhttps://events.chpc.ac.za/event/155/contribut ions/2993/ LOCATION:Century City Conference Centre 1/1-10 - Room 10 URL:https://events.chpc.ac.za/event/155/contributions/2993/ END:VEVENT BEGIN:VEVENT SUMMARY:A conceptual model of factors to improve cybercrime investigation. DTSTART;VALUE=DATE-TIME:20251202T100000Z DTEND;VALUE=DATE-TIME:20251202T103000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2990@events.chpc.ac.za DESCRIPTION:Speakers: Aluta Vusisiziwe Dyasi ()\, Bertram Haskins ()\, Rei nhardt Botha (Noroff University College & Nelson Mandela University)\nCybe rcrime poses a significant threat that presents a unique challenge to law enforcement agencies. The transnational nature and technical complexity ar e some of the challenges that create difficulties in investigating cybercr ime\, despite the advancements in legislation. An Interpol 2025 African Cy berthreat Assessment Report highlights that cyber-related offences continu e to increase\, while countries report critical gaps in investigative capa city. In response to these challenges\, this paper proposes a conceptual m odel based on seven Critical Success Factors (CSFs) identified from review ing the academic literature and using a snowballing technique. The resulti ng model provides a structured framework to support law enforcement agenci es in improving their cybercrime\n\nhttps://events.chpc.ac.za/event/155/co ntributions/2990/ LOCATION:Century City Conference Centre 1/1-10 - Room 10 URL:https://events.chpc.ac.za/event/155/contributions/2990/ END:VEVENT BEGIN:VEVENT SUMMARY:Ethical principles and social implications of generative AI DTSTART;VALUE=DATE-TIME:20251202T093000Z DTEND;VALUE=DATE-TIME:20251202T100000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2989@events.chpc.ac.za DESCRIPTION:Speakers: Clarissa Weyer ()\, Hennie Kruger (North-West Univer sity)\, Marijke Coetzee (North-West University)\nGenerative Artificial Int elligence has rapidly evolved\, transforming numerous sectors. While its p otential benefits are widely acknowledged\, there are growing concerns abo ut its ethical and societal implications. This paper presents a semi-syste matic literature review aimed at identifying ethical principles and the so cial impacts of generative AI. This article synthesises key themes related to fairness\, accountability\, transparency\, privacy\, and plagiarism\, as well as broader societal concerns including job displacement\, misinfor mation\, overreliance and digital divide. The findings contribute to ongoi ng debates in AI governance\, policy formulation\, and ethical AI design\, and offer a foundation for future research in managing the risks and redu cing societal impact of generative AI.\n\nhttps://events.chpc.ac.za/event/ 155/contributions/2989/ LOCATION:Century City Conference Centre 1/1-10 - Room 10 URL:https://events.chpc.ac.za/event/155/contributions/2989/ END:VEVENT BEGIN:VEVENT SUMMARY:Ethical Boundaries of Plagiarism Detection in the Age of AI DTSTART;VALUE=DATE-TIME:20251202T090000Z DTEND;VALUE=DATE-TIME:20251202T093000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2988@events.chpc.ac.za DESCRIPTION:Speakers: Bobby Tait (University of South Africa)\, Rowen Robi nson ()\nThis paper explores the ethical boundaries of plagiarism detectio n in the age of artificial intelligence (AI)\, focusing on the rise of AI- generated text and its implications for academic integrity. While plagiari sm detection has traditionally relied on string-matching and authorship at tribution\, the emergence of generative models like GPT-4 challenges these methods. Institutions now face a dual imperative: uphold fairness and acc ountability while respecting privacy\, transparency\, and due process. Thi s article reviews the evolution of detection systems\, contextualizes them within cybersecurity frameworks\, and analyzes ethical tensions through g lobal policy comparisons and case scenarios. A conceptual model of AI-enab led detection is presented\, alongside a comparative table of internationa l data protection laws. The paper argues for a balanced governance approac h that integrates human judgment\, safeguards student rights\, and acknowl edges cultural diversity in plagiarism norms. Recommendations include hybr id detection-prevention strategies\, transparent algorithms\, and ethics-i nformed policy design. Ultimately\, the goal is to ensure that detection s ystems serve education rather than undermine it.\n\nhttps://events.chpc.ac .za/event/155/contributions/2988/ LOCATION:Century City Conference Centre 1/1-10 - Room 10 URL:https://events.chpc.ac.za/event/155/contributions/2988/ END:VEVENT BEGIN:VEVENT SUMMARY:Quantum Reservoir Computing and Principal Component Analysis for S ustainable High-Performance Search: A New Paradigm for Digital Energy Eff iciency DTSTART;VALUE=DATE-TIME:20251201T090000Z DTEND;VALUE=DATE-TIME:20251201T092000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2951@events.chpc.ac.za DESCRIPTION:Speakers: Biswas Kapasule (Aeon Mobility)\nAs digital economie s scale\, the hidden environmental cost of data processing—especially fr om AI and search engines—has become a growing concern. Search engines li ke Google and AI models such as Meta AI consume hundreds of kilowatt-hours (kWh) daily\; in 2024\, Google disclosed that each AI search can consume up to 3 watt-hours\, which\, at scale\, parallels the energy of running a home microwave for 20–30 seconds per query. These figures point to a pre ssing need to rethink our computational architectures.\n\nWe propose a nov el hybrid model that combines Quantum Reservoir Computing (QRC) with Princ ipal Component Analysis (PCA) as a means to reduce computational load whil e maintaining high-performance intelligence. This approach leverages quant um dynamics for memory-rich processing while applying PCA to filter and co mpress high-dimensional outputs\, minimizing redundancy and noise. The int egration is particularly designed for High-Performance Computing (HPC) tas ks such as indexing\, ranking\, and personalization within large-scale sea rch engines.\n\nPrevious research in QRC has highlighted its potential for temporal processing\, but it remains underutilized in real-world\, energy -intensive infrastructures. Most prior work applies QRC in small-scale sim ulations without dimensionality reduction or power profiling. Our method i ntroduces PCA post-processing as a compression lens—a missing piece in c urrent quantum reservoir computing literature.\n\nhttps://events.chpc.ac.z a/event/155/contributions/2951/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/2951/ END:VEVENT BEGIN:VEVENT SUMMARY:Catalysing Data Centre Investment for Africa’s High-Performance Computing and Climate Action through the Digital Investment Facility (DIF) DTSTART;VALUE=DATE-TIME:20251203T113000Z DTEND;VALUE=DATE-TIME:20251203T130000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2962@events.chpc.ac.za DESCRIPTION:Speakers: Mulalo Mphidi (GIZ)\nThe rapid growth of Africa’s data-intensive research\, artificial intelligence (AI)\, and high-perform ance computing (HPC) workloads is driving unprecedented demand for resilie nt and sustainable data infrastructure. Data centres are emerging as criti cal enablers of scientific discovery\, cloud adoption\, and digital innova tion\, yet the region continues to face significant barriers: limited loca l hosting capacity\, reliance on international facilities\, high latency\, data sovereignty concerns\, and a shortage of investment-ready projects.\ nThe Digital Investment Facility (DIF)—a Team Europe initiative co-funde d by the European Commission\, Germany\, and Finland\, and implemented joi ntly by GIZ and HAUS—addresses these gaps by boosting investment in gree n and secure digital infrastructure\, with a focus on data centres and Int ernet Exchange Points (IXPs). Operating as a project preparation and advis ory facility\, DIF supports projects from early design to contract closing \, enhancing bankability through technical and financial advisory services \, pre-feasibility studies\, ESG integration\, and investor matchmaking.\n Crucially\, DIF embeds a climate nexus at the core of its work. By promoti ng energy-efficient\, renewable-powered data centres and aligning with ISO 50001 energy management standards\, DIF ensures digital infrastructure pr ojects contribute directly to climate action and the implementation of Nat ionally Determined Contributions (NDCs). Greener data centres reduce emiss ions from digital growth\, enhance resilience through disaster recovery ca pacity\, and enable the digital tools required for climate adaptation (e.g .\, climate modelling\, earth observation\, and early warning systems).\nA t CHPC\, DIF will showcase how its approach enables data centres to meet t he demanding requirements of HPC and advanced research—providing low-lat ency access\, high-availability colocation\, and sustainable cloud platfor ms that can host scientific datasets and AI workloads. The presentation wi ll highlight the emerging pipeline of African digital infrastructure proje cts\, the application of international standards\, and the opportunities f or researchers\, policymakers\, and investors to collaborate in building a digitally sovereign and climate-aligned HPC ecosystem in Africa.\n\nhttps ://events.chpc.ac.za/event/155/contributions/2962/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/2962/ END:VEVENT BEGIN:VEVENT SUMMARY:AI-Assisted Optimization of Large-Scale Climate Data Transfers in South African Research Infrastructure DTSTART;VALUE=DATE-TIME:20251203T100000Z DTEND;VALUE=DATE-TIME:20251203T102000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2960@events.chpc.ac.za DESCRIPTION:Speakers: Jonathan Padavatan (University of the Wiitwatersrand )\n# AI-Assisted Optimization of Large-Scale Climate Data Transfers in Sou th African Research Infrastructure\n\n**CHPC Conference 2025\, Cape Town** \n\n## Abstract\n\n### Background and Motivation\n\nThe transfer of large- scale scientific datasets between South African research facilities repres ents a critical bottleneck in computational research workflows. Climate mo deling datasets of the Global Change Instituite\, Wits University \, as od f Aug2025\, are just over 540TB over 3 users\, particularly from the Conf ormal-Cubic Atmospheric Model (CCAM).Optimized transfer strategies between the Centre for High Performance Computing (CHPC) and the Data Intensive R esearch Initiative of South Africa (DIRISA) storage systems are thus neces sary for resilient data flows between HPC\, storage and local analsysi s compute facilities.Current data transfer tools such as Globus Connect id entify bottlenecks within data flow circuits\, however manual command line iRODS interfaces present significant challenges for reliable data transf er through AI-assisted optimization."\n\n### Methodology: AI-Assisted Deve lopment\n\nThis work presents a systematic application of artificial intel ligence tools (Claude Code) to develop filesystem-aware transfer optimizat ion solutions. The AI-assisted development process generated three complem entary tools in under 4 hours of development time:\n\n1. **Performance ben chmarking script** for systematic testing of 24-core Data Transfer Node co nfigurations\n2. **Resilient transfer wrapper** with exponential backoff r etry logic and comprehensive verification\n3. **Lustre-aware optimization engine** that dynamically analyzes filesystem striping patterns and adjust s transfer parameters\n\n### Technical Innovation: Lustre Filesystem Integ ration\n\nThe core innovation lies in automated Lustre striping analysis u sing `lfs getstripe` commands\, coupled with dynamic parameter optimizatio n. The system automatically detects:\n- Stripe counts and sizes for optima l thread allocation\n- Object Storage Target (OST) distributions for concu rrency planning \n- File size patterns for buffer optimization\n- Directo ry structures for efficient batch processing\n\n### Performance Results\n\ n**Test Dataset**: 189TB CCAM climate modeling installation (`ccam_install _20240215`)\n- **Source**: CHPC Lustre filesystem (`/home/jpadavatan/lustr e/`)\n- **Destination**: DIRISA iRODS storage (`/dirisa.ac.za/home/jonatha n.padavatan@wits.ac.za/`)\n\n**Validation Testing** (67MB\, 590 files):\n- **Success Rate**: 100.0% (590/590 files transferred successfully)\n- **Tr ansfer Performance**: 0.95 GB/hour sustained throughput\n- **Reliability** : Zero failed transfers with comprehensive verification\n- **Peak Performa nce**: 10.41 MB/s maximum transfer rate\n- **Optimization**: Automatic 8-t hread\, 64MB buffer configuration\n\n**Scalability Analysis**:\n- **Small datasets** (41-67MB): 100% success rate\, 4-11 MB/s\n- **Medium datasets** (17GB): Structure-preserving transfers completed\n- **Large datasets** (2 0-34TB per directory): Systematic optimization applied\n\n### AI Developme nt Impact\n\nThe AI-assisted approach delivered significant advantages:\n- **Development Speed**: Complete toolchain developed in \n\nhttps://events .chpc.ac.za/event/155/contributions/2960/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/2960/ END:VEVENT BEGIN:VEVENT SUMMARY:Leveraging Cyber-infrastructure for Open Science: DIRISA's Contrib ution to Data-Driven Decision-Making in South Africa. DTSTART;VALUE=DATE-TIME:20251203T092000Z DTEND;VALUE=DATE-TIME:20251203T094000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2965@events.chpc.ac.za DESCRIPTION:Speakers: Phoshoko Katlego (NICIS DIRISA)\nThe transition from raw research data to impactful national decisions relies fundamentally on robust\, accessible\, and strategically managed data and data infrastruct ure. This presentation provides a high-level overview of the foundations o f open science and frames the urgency within the unique South African cont ext. It addresses critical systemic challenges\, including data fragmentat ion and the complex dynamics of data ownership and governance that shape t he research landscape.\nThe core focus of the discussion is DIRISA's strat egic mandate as the key national enabler. The presentation illustrates how DIRISA provides national data platforms\, research data management suppor t\, and services that govern the full data lifecycle—from ingestion to l ong-term preservation and sharing.\nThe presentation aims to demonstrate t he national value of data stewardship: how it effectively bridges the gap between theoretical frameworks and practical\, evidence-based decision-mak ing for national benefit. The presentation concludes by exploring emerging trends and future requirements necessary to fully realize data’s potent ial for South Africa's sustainable development.\n\nhttps://events.chpc.ac. za/event/155/contributions/2965/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/2965/ END:VEVENT BEGIN:VEVENT SUMMARY:High-Performance Computing for Multiphase Flow Modelling of Oxygen Lancing in Pyrometallurgical Tap-Holes DTSTART;VALUE=DATE-TIME:20251203T123000Z DTEND;VALUE=DATE-TIME:20251203T125000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2945@events.chpc.ac.za DESCRIPTION:Speakers: Markus Erwee ()\nHigh-performance computing (HPC) pr ovides the means to translate complex multiphase flow data into insight th at can inform industrial decision-making. This research applies advanced c omputational fluid dynamics\, executed on the CHPC Lengau cluster\, to mod el reacting gas–liquid systems relevant to oxygen lancing in pyrometallu rgical tap-holes. The approach couples open-source CFD solvers with thermo chemical data to capture flow behaviour\, heat transfer\, and reaction-dri ven gas evolution in molten metal–slag systems. Ferrochrome smelting ser ves as a representative case study\, enabling validation against plant dat a and illustrating the broader relevance of the modelling framework to oth er high-temperature processes. By integrating computational models\, large -scale data handling\, and parallel analysis workflows\, the study demonst rates how national cyber infrastructure can transform high-fidelity simula tions into actionable understanding for safer\, more efficient\, metallurg ical operations.\n\nhttps://events.chpc.ac.za/event/155/contributions/2945 / LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/2945/ END:VEVENT BEGIN:VEVENT SUMMARY:Bridging Sectors And Empowering Progress | Integrating Compute\, D ata\, and Community for Innovation DTSTART;VALUE=DATE-TIME:20251202T074500Z DTEND;VALUE=DATE-TIME:20251202T083000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2908@events.chpc.ac.za DESCRIPTION:Speakers: Mischa Kim (MathWorks)\nIn today’s rapidly evolvin g digital landscape\, robust national cyber infrastructure is essential fo r driving innovation\, securing critical systems\, and empowering research across all sectors. This keynote explores how the strategic integration o f advanced compute power and big data capabilities forms the backbone of m odern cyber infrastructure\, enabling nations to tackle complex challenges in science\, engineering\, and industry. We will highlight MathWorks’ p ivotal role in supporting these efforts by delivering state-of-the-art tec hnical tools\, such as MATLAB and Simulink\, that accelerate data analysis \, modeling\, and simulation at scale. Beyond technology\, MathWorks is co mmitted to capacity building—offering comprehensive training programs fo r staff and students to cultivate the next generation of cyber professiona ls. Furthermore\, we foster collaboration by connecting academia\, governm ent\, and industry\, ensuring a vibrant ecosystem where innovative ideas f lourish. Join us to discover inspiring case studies and practical strategi es that demonstrate how a unified approach to compute\, data\, and communi ty can unlock the full potential of national cyber infrastructure and driv e transformative outcomes.\n\nhttps://events.chpc.ac.za/event/155/contribu tions/2908/ LOCATION:Century City Conference Centre 1/0-AB - Hall A+B URL:https://events.chpc.ac.za/event/155/contributions/2908/ END:VEVENT BEGIN:VEVENT SUMMARY:Leveraging undersea cables and optical fibre for high-volume scien ce workflows DTSTART;VALUE=DATE-TIME:20251202T070000Z DTEND;VALUE=DATE-TIME:20251202T074500Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2906@events.chpc.ac.za DESCRIPTION:Speakers: Rosalind Thomas (Collaborating Company -SAEx Interna tional Management Ltd)\nThis Keynote presentation will be focused on the f ollowing:\n\n* The readiness of SADC NRENs to the challenges of Petascale and Exascale data to be generated by key projects such as\, e.g.\, SKA and the Bioinformatics Genome Sequencing projects.\n\n* Strategic infrastruct ure investments and partnerships and how to maximise on private sector inv estments.\n\n* Data sovereignty and developing the right skills for our re search communities to be able to handle and run these increasing scientifi c data flows.\n\nhttps://events.chpc.ac.za/event/155/contributions/2906/ LOCATION:Century City Conference Centre 1/0-AB - Hall A+B URL:https://events.chpc.ac.za/event/155/contributions/2906/ END:VEVENT BEGIN:VEVENT SUMMARY:Agentic AI and the Future of Discovery DTSTART;VALUE=DATE-TIME:20251203T070000Z DTEND;VALUE=DATE-TIME:20251203T074500Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2929@events.chpc.ac.za DESCRIPTION:Speakers: Ian Foster (University of Chicago & Argonne National Laboratory)\nAn AI agent is a computational entity that can interact with the world and adapt its actions based on learnings from these interaction s. I discuss the potential for such agents to serve as next-generation sci entific assistants\, for example by acting as cognitive partners and labor atory assistants. In the former case\, agents\, with their machine learnin g and data-processing capabilities\, complement the cognitive processes of human scientists by offering real-time data analysis\, hypothesis generat ion\, and experimental design suggestions\; in the latter\, they engage di rectly with the scientific environment on the scientist's behalf\, for exa mple by performing experiments in bio-labs or running simulations on super computers. I invite participants to envision a future in which human scien tists and agents collaborate seamlessly\, fostering an era of accelerated scientific discoveries\, new horizons of understanding\, and--we may hope- -broader access to the benefits of science.\n\nhttps://events.chpc.ac.za/e vent/155/contributions/2929/ LOCATION:Century City Conference Centre 1/0-AB - Hall A+B URL:https://events.chpc.ac.za/event/155/contributions/2929/ END:VEVENT BEGIN:VEVENT SUMMARY:Q & A DTSTART;VALUE=DATE-TIME:20251203T125000Z DTEND;VALUE=DATE-TIME:20251203T130000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2940@events.chpc.ac.za DESCRIPTION:Speakers: Q & A ()\nQ & A\n\nhttps://events.chpc.ac.za/event/1 55/contributions/2940/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/2940/ END:VEVENT BEGIN:VEVENT SUMMARY:The Dynamic Control of Head Stabilisation in Cheetahs: A Computer Vision and Optimisation Approach DTSTART;VALUE=DATE-TIME:20251203T121000Z DTEND;VALUE=DATE-TIME:20251203T123000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2876@events.chpc.ac.za DESCRIPTION:Speakers: Kamryn Norton (African Robotics Unit\, University of Cape Town)\nThe cheetah is a pinnacle of adaptation in the context of the natural world. It is the fastest land mammal and has multiple morphologic al specialisations for prey-tracking during high-speed manoeuvres\, such a s vestibular adaptations to facilitate gaze and head stabilisation [1]. Un derstanding the cheetah’s head stabilisation techniques is useful in fie ld such as biomechanics\, conservation\, and artificial and robotic system s\; however\, the dynamics of wild and endangered animals are difficult to study from a distance. This challenge necessitated a non-invasive Compute r Vision (CV) technique to collect and analyse 3D points of interest. We c ollected a new data set to emulate a perturbed platform and isolate head s tabilisation. Using MATLAB®\, we built upon a method pioneered by AcinoSe t [2] to build a 3D reconstruction through CV and a dynamic model-informed optimisation\, which was used to quantitatively analyse the cheetah’s h ead stabilisation. Using our new dataset\, and by leveraging optimal contr ol methods\, this work identifiesand quantifies passive head stabilisation \, in conjunction with AcinoSet data\, to quantify the active stabilisatio n during locomotion. Since this work includes computationally heavy method s\, the processing of these data using optimisations and computer vision r endering can be benchmarked and compared to parallel computing methods\, t o further support the viability of the 3D reconstruction methods for other animal or human models and applications of high-performance and low-cost markerless motion capture.\n[1] Grohé\, C et al\, Sci Rep\, 8:2301\, 2018 .\n[2] Joska\, D et al\, ICRA\, 13901-13908\, 2021.\n\nhttps://events.chpc .ac.za/event/155/contributions/2876/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/2876/ END:VEVENT BEGIN:VEVENT SUMMARY:ChemShell: defects in energy materials by hybrid QM/MM approach DTSTART;VALUE=DATE-TIME:20251203T115000Z DTEND;VALUE=DATE-TIME:20251203T121000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2916@events.chpc.ac.za DESCRIPTION:Speakers: Liam Morgan (UCL)\nThe presentation showcases recent developments and applications of the ChemShell software in the field of e nergy materials by the Materials Chemistry HPC Consortium (UK)\, focusing on defect properties. This work capitalizes on the software engineering an d methodological advances in recent years (including the UK Excalibur PAX project highlighted in the last year CHPC conference) by the groups of Pr of. Thomas W. Keal in STFC Daresbury Laboratory (UK) and Prof. C. Richard A. Catlow at UCL and Cardiff University with several collaborators. Mater ials of interest include wide gap semiconductors used in electronic and op toelectronic devices as well as catalysis and solid electrolytes. The meth od allows one to explore both defect thermodynamics and their spectroscopi c properties. Further examples show how a classical rock-salt structured i nsulator MgO can be usefully employed as a platform in studies of exotic s tates of matter\, which are of fundamental interest\, in particular\, the unconventional cuprate superconductors with high critical temperatures\, a nd the recently discovered phenomena in isostructural nickelate systems.\n \nhttps://events.chpc.ac.za/event/155/contributions/2916/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/2916/ END:VEVENT BEGIN:VEVENT SUMMARY:Investigations of Selected Properties of Material under Dynamical High Pressure and Temperature DTSTART;VALUE=DATE-TIME:20251203T113000Z DTEND;VALUE=DATE-TIME:20251203T115000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2917@events.chpc.ac.za DESCRIPTION:Speakers: George Amolo ()\nThe mechanical properties of materi als change when subjected to dynamically conditions of high pressure and t emperature. Such materials are those applied in cutting and shaping result ing in twisting and tensile forces. Results of selected MAX phases are pre sented to show variations in elastic constants as a function of dynamicall y pressure and temperature. Another situation where materials are subjecte d to such conditions is in the core of the earth. Stishovite\, CaCl2 and S eifertite phases of silica\, occurring in the core of the earth\, are inve stigated with outcomes of phases transitions and related changes in seismi c velocities that are compared with experimentally determined values.\n\nh ttps://events.chpc.ac.za/event/155/contributions/2917/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/2917/ END:VEVENT BEGIN:VEVENT SUMMARY:Q & A DTSTART;VALUE=DATE-TIME:20251203T102000Z DTEND;VALUE=DATE-TIME:20251203T103000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2938@events.chpc.ac.za DESCRIPTION:Speakers: Q & A ()\nQ & A\n\nhttps://events.chpc.ac.za/event/1 55/contributions/2938/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/2938/ END:VEVENT BEGIN:VEVENT SUMMARY:Tailoring structural design of spinel LiMn2O4 cathode material th rough high entropy doping DTSTART;VALUE=DATE-TIME:20251203T094000Z DTEND;VALUE=DATE-TIME:20251203T100000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2915@events.chpc.ac.za DESCRIPTION:Speakers: Raesibe Sylvia Ledwaba (University of Limpopo)\nThe spinel LiMn2O4 cathode material has attractive candidates for the design a nd engineering of cost-effective and thermally sustainable lithium-ion bat teries for optimal utilisation in electric vehicles and smart grid technol ogies. Despite its electrochemical qualities\, its commercialization is de layed by the widely reported capacity loss during battery operation. The c apacity attenuation is linked to structural degradation caused by Jahn-Tel ler active and disproportionation of Mn3+ ions. In several studies\, the s tructural stability of spinel LiMn2O4 was improved by single- or dual-dopi ng the Mn sites to curtail the number of Mn3+ ions. However\, this results in loss of active ions\, which ultimately limits the amount of energy tha t can be obtained from the battery. Herein\, a high-entropy (HE) doping st rategy is used to enhance the structural stability and electrochemical per formance of LiMn2O4 spinel. The unique interactions of various dopants in HE doping yield enhanced structural stability and redox coupling\, which c an improve the concentration of the active material in the system. An HE-d oped LiMn2O4 (LiMn1.92Mg0.02Cr0.02Al0.02Co0.02Ni0.02O4) spinel structure w as successfully optimized using the Vienna Ab initio Simulation Package (V ASP) code. The lattice parameters of the optimized (ground state) structur e were determined to be 8.270 Å\, which is less than the value of 8.274 Å of the pristine LiMn2O4 spinel structure. The yielded lattice contracti ons suggest a stronger M-O bond beneficial for increased resistance to pha se changes and degradation. Moreover\, the concentration of Mn3+ was decre ased by 5.3% to defer the onset of the Jahn-Teller distortion and enhance capacity retention. This retention is part of some significant benefits e manating from dopants such as Cr3+ as it can participate in storing electr ic charge during the charging process by forming Cr4+ thus compensating t he capacity loss endured during Mn3+ concentration reduction. Consequently \, this work paves a path for exploration of several other fundamental pro perties linked to the electrochemical performance of spinel.\n\nhttps://ev ents.chpc.ac.za/event/155/contributions/2915/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/2915/ END:VEVENT BEGIN:VEVENT SUMMARY:Q & A DTSTART;VALUE=DATE-TIME:20251202T102000Z DTEND;VALUE=DATE-TIME:20251202T103000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2933@events.chpc.ac.za DESCRIPTION:Speakers: Q & A ()\nQ & A\n\nhttps://events.chpc.ac.za/event/1 55/contributions/2933/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/2933/ END:VEVENT BEGIN:VEVENT SUMMARY:Q & A DTSTART;VALUE=DATE-TIME:20251202T125000Z DTEND;VALUE=DATE-TIME:20251202T130000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2932@events.chpc.ac.za DESCRIPTION:Speakers: Q & A ()\nQ & A\n\nhttps://events.chpc.ac.za/event/1 55/contributions/2932/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/2932/ END:VEVENT BEGIN:VEVENT SUMMARY:From Idea to Impact: Scalable AI Workflows with MATLAB & HPC - Bri dging AI Challenges with Scalable\, Reliable\, and Explainable Solutions DTSTART;VALUE=DATE-TIME:20251202T123000Z DTEND;VALUE=DATE-TIME:20251202T125000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2919@events.chpc.ac.za DESCRIPTION:Speakers: Marco Rossi (MathWorks Academia Team)\nIn an age whe re AI is permeating every field of engineering and science\, it is essenti al for researchers to quickly embrace technologies that can drive breakthr oughs and accelerate innovation. Tools like MATLAB are specifically design ed to lower the barriers to entry into the world of AI\, making advanced c apabilities more accessible to engineers and scientists.\nIntegrating trul y AI-enabled systems into real-world applications presents significant cha llenges – data fragmentation\, legacy system integration\, and scaling a dvanced computations are common hurdles. This talk presents practical appr oaches to overcoming these obstacles\, emphasizing how high-performance co mputing with MATLAB and Simulink can accelerate AI model development and d eployment. After a quick introduction on how to access and use MATLAB at y our university or institute\, the session will focus on effective strategi es and best practices for leveraging HPC capabilities such as parallelizat ion and workflow optimization to achieve faster prototyping and scalable A I solutions.\nThe availability of MATLAB on the CHPC cluster through your university or institute license ensures that the presented workflows are a ccessible and reproducible for researchers across the Southern Africa regi on. The Academia Teams at MathWorks and Opti-Num Solutions (local partner company) are here to support your research by helping you quicky adopt AI and scale your work with parallel computing.\n\nhttps://events.chpc.ac.za/ event/155/contributions/2919/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/2919/ END:VEVENT BEGIN:VEVENT SUMMARY:Exploring new ways to decarbonize metal production with multiphysi cs modelling and high-performance computing DTSTART;VALUE=DATE-TIME:20251202T121000Z DTEND;VALUE=DATE-TIME:20251202T123000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2913@events.chpc.ac.za DESCRIPTION:Speakers: Quinn Reynolds (Mintek)\nDirect-current (DC) electri c arc furnaces are used extensively in the recycling of steel as well as p rimary production of many industrial commodities such as ferrochromium\, t itanium dioxide\, cobalt\, and platinum group metals. This typically invol ves a process called carbothermic smelting\, in which raw materials are re acted with a carbon-based reductant such as metallurgical coke to make the desired product. Although it is one of humanity’s oldest and most estab lished technologies\, carbothermic metal production is becoming increasing ly unattractive due to its significant scope-1 emissions of carbon dioxide and other environmental pollutants. Because of this many alternatives to fossil carbon reductants are currently being researched\, and in the conte xt of broad initiatives to establish a sustainable hydrogen economy both i n South Africa and internationally\, the possibility of directly replacing coke with hydrogen as a metallurgical reductant is of particular interest . A DC arc furnace fed with hydrogen has the potential to reduce or elimin ate carbon emissions provided renewable resources are used for both electr ical power and hydrogen production.\n\nKey to the operation of DC arc furn ace is the electric arc itself – a high-velocity\, high-temperature jet of gas which has been heated until it splits into a mixture of ions and el ectrons (a plasma) and becomes electrically conductive. The plasma arc act s as the principal heating and stirring element inside the furnace\, and u nderstanding its behaviour is an important part of operating an arc furnac e efficiently and productively. However\, due to the extreme conditions un der which arcs operate\, studying them experimentally can be difficult\, e xpensive\, and hazardous. Coupled multiphysics models which simulate arcs from first principles of fluid flow\, heat transfer and electromagnetics a re therefore of great value in conducting in silico numerical experiments and building an understanding of how they behave under different process c onditions. This presentation will discuss the development of an arc modell ing workflow incorporating aspects of process thermochemistry\, plasma pro perty calculation from fundamental physics\, and computational mechanics m odels of the arc itself. This workflow is then used to explore the impact of introducing hydrogen gas as an alternative reductant in metallurgical a lloy smelting processes. \n\nIn keeping with the theme of this year’s CH PC National Conference\, the critical role of HPC in plasma arc modelling will be discussed in terms of the data life cycle in plasma arc modelling – from input parameters through to raw simulation data\, and finally to key insights which will help guide the next generation of clean metal prod uction technologies.\n\nhttps://events.chpc.ac.za/event/155/contributions/ 2913/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/2913/ END:VEVENT BEGIN:VEVENT SUMMARY:The African Bioinformatics Institute: Building Data Infrastructure for Genomics in Africa DTSTART;VALUE=DATE-TIME:20251202T115000Z DTEND;VALUE=DATE-TIME:20251202T121000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2872@events.chpc.ac.za DESCRIPTION:Speakers: Nicola Mulder (University of Cape Town)\nAfrica has traditionally lagged behind in life sciences research due to limited fundi ng\, infrastructure\, and human capacity. Yet the growth of genomics and o ther large-scale data-driven projects now demands robust cyber-infrastruct ure for data storage\, processing\, and sharing. H3ABioNet made a signific ant contribution to building bioinformatics capacity across Africa over 12 years\, but its funding has ended. In 2024\, the community received a maj or boost with support from the Wellcome Trust and Chan Zuckerberg Initiati ve to establish the African Bioinformatics Institute (ABI).\nThe ABI is be ing developed as a distributed network of African institutions\, with a ma ndate to coordinate bioinformatics infrastructure\, research\, and trainin g. A central focus is on enabling African scientists and public health ins titutes to manage and analyse large\, complex datasets generated by initia tives such as national genome projects\, pathogen genomics surveillance\, and the African Population Cohorts Consortium. To meet these needs\, the A BI is working with global partners\, including the GA4GH\, to promote adop tion of international standards and tools that enable secure\, responsible data sharing.\nThe Institute will coordinate the development of a federat ed network of trusted research environments (TREs)\, ensuring data governa nce frameworks are locally appropriate while interoperable with global sys tems. By hosting African databases and resources\, and fostering collabora tions across institutions\, the ABI will both drive demand for advanced co mpute and storage solutions and contribute to shaping how cyber-infrastruc ture supports genomics on the continent. In doing so\, it will bridge loca l and global research ecosystems and advance the responsible use of genomi c data for health impact.\n\nhttps://events.chpc.ac.za/event/155/contribut ions/2872/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/2872/ END:VEVENT BEGIN:VEVENT SUMMARY:From Punch Cards to AI-Powered HPC: A 40-Year Journey in Computati onal Chemistry Infrastructure DTSTART;VALUE=DATE-TIME:20251202T113000Z DTEND;VALUE=DATE-TIME:20251202T115000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2928@events.chpc.ac.za DESCRIPTION:Speakers: Krishna Govender (University of Johannesburg)\, Hend rick Kruger (UKZN)\nThis presentation chronicles the journey of an older-g eneration computational chemist and a young HPC expert\, mediated via AI a ssistance\, culminating in the successful deployment of a multi-node resea rch computing cluster. The cluster supports molecular modeling and drug de sign\, enabling large-scale molecular dynamics and quantum chemistry calcu lations. The senior researcher's four-decade arc—from 1983 punch cards t o 2025 AI-collaborative infrastructure—illuminates artificial intelligen ce's role in transforming scientific knowledge transfer.\n\nAn initial Gau ssian software request expanded into comprehensive cluster setup: Rocky Li nux 9\, Slurm management\, parallel filesystems\, and seven key packages ( Gaussian\, ORCA\, GAMESS-US\, Psi4\, NWChem\, CP2K and AMBER). This optimi zed mixed GPU architectures (RTX A4000/RTX 4060) — a common reality in m ost laboratories (perhaps fortunately for the average researcher)\, though uniform hardware is preferable if affordable. Benchmarks yielded 85% para llel efficiency\, affirming production readiness.\n\nThe AI approach thriv ed despite hands-off administration\, via an iterative model of problem-so lving\, explanation\, and reasoning. Complementary tools — Claude AI for documentation\, Grok for perspectives\, DeepSeek for verification — fos tered rapid consensus\, with human-led execution\, validation\, and adapta tion essential. This erodes barriers to retraining or consultancy\, enabli ng expertise assimilation for resource-limited institutions and heralding a paradigm shift in scientific knowledge application.\n\nKeywords: High-Pe rformance Computing\, Computational Chemistry\, AI-Assisted Infrastructure \, Cluster Computing\, Knowledge Transfer\, Slurm Workload Manager\, Scien tific Computing\, Human-AI Collaboration\, HPC Democratization\, Intergene rational Learning.\n\nhttps://events.chpc.ac.za/event/155/contributions/29 28/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/2928/ END:VEVENT BEGIN:VEVENT SUMMARY:Uncertainty Quantification in Patient-Specific Cardiovascular CFD: A Global Sensitivity Study on the Lengau Cluster DTSTART;VALUE=DATE-TIME:20251202T100000Z DTEND;VALUE=DATE-TIME:20251202T102000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2878@events.chpc.ac.za DESCRIPTION:Speakers: Vincent Punabantu (University of Cape Town)\nThree-d imensional (3D) computational fluid dynamics (CFD) has emerged as a powerf ul tool for studying cardiovascular haemodynamics and informing the treatm ent of cardiovascular diseases. Patient-specific CFD models rely on bounda ry conditions derived from medical imaging\, yet uncertainties in imaging measurements can propagate through the model and affect clinically relevan t outputs such as pressure and velocity fields. To ensure that CFD-based c linical decisions are both reliable and repeatable\, it is essential to qu antify these uncertainties and assess the sensitivity of the outputs to bo undary condition variability.\nUncertainty quantification and sensitivity analysis (UQ/SA) typically require large numbers of simulations\, which ma kes their application challenging in 3D CFD due to high computational cost s. While Monte Carlo approaches may require hundreds of evaluations\, alte rnative methods such as generalized polynomial chaos expansion reduce the number of runs but remain computationally demanding.\nIn this study\, we p resent a global UQ/SA framework implemented on the Lengau Cluster for coar ctation of the aorta\, a common form of congenital heart disease. The unce rtain inputs are the lumped parameters of the 3-Element Windkessel Model\, prescribed at the outlets to represent distal vasculature. We evaluate ho w variability in these parameters impacts pressure and velocity fields\, w ith the objective of improving the robustness and clinical utility of pati ent-specific CFD simulations.\n\nhttps://events.chpc.ac.za/event/155/contr ibutions/2878/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/2878/ END:VEVENT BEGIN:VEVENT SUMMARY:A use case for integration of Earth Observations and AI in NWP mod elling DTSTART;VALUE=DATE-TIME:20251202T094000Z DTEND;VALUE=DATE-TIME:20251202T100000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2914@events.chpc.ac.za DESCRIPTION:Speakers: Patience Tlangelani Mulovhedzi (Council for Scientif ic and Industrial Research)\nThis paper explores the benefits of integrati ng Earth Observation (EO) techniques with Artificial Intelligence (AI) to enhance the capabilities of Numerical Weather Prediction (NWP) models\, pa rticularly in the context of severe weather and environmental hazards over South Africa. NWP models often employ EO that lacks real-time resolution\ , which may lead to increased uncertainty in short-term forecasts and redu ced reliability during high-impact weather events. EO systems provide high -resolution\, near-real-time observations. AI techniques perform post-proc essing tasks like bias correction\, anomaly detection\, and pattern recogn ition. AI also excels at capturing non-linear relationships and fine-scale phenomena that are often poorly resolved in NWP models. This EO-AI integr ated approach should improve model forecast accuracy\, and detection of lo calized hazards. We demonstrate the benefits and shortcomings of our appro ach in detecting hazards such as heat waves\, wildfires and wetland degrad ation.\n\nhttps://events.chpc.ac.za/event/155/contributions/2914/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/2914/ END:VEVENT BEGIN:VEVENT SUMMARY:VCo2O4 (001) surface properties in zinc-air batteries DTSTART;VALUE=DATE-TIME:20251202T092000Z DTEND;VALUE=DATE-TIME:20251202T094000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2873@events.chpc.ac.za DESCRIPTION:Speakers: Khomotso Maenetja (Materials Modelling Centre)\nThe evolution and progress of humanity are closely linked to our ways of energ y use. Reliable energy sources are vital for driving economic growth\, esp ecially as society's demand for energy keeps rising. The rapid development of zinc-air batteries (ZABs) makes them an appealing alternative to stand ard lithium-ion batteries for energy storage needs. However\, the slow kin etics of the air cathode led to a short lifespan and low energy efficiency in zinc-air batteries. First-principles calculations help develop catalys ts that promote the formation of the most stable discharge products in Zn- air batteries. Density functional theory (DFT) is used to examine the adso rption (Γ= +1\, +2) and vacancy formation (Γ= -1\, -2) energies of oxyge n atoms on the (001) surface of VCo2 O4. The Bader charge analysis reveal s how the atoms interact within the system. When oxygen atoms are reduced and adsorbed\, it is observed that the V and Co atoms show minimal charge differences compared to the original phase\, whether reduced or oxidized. Interplanar distances show that adding or removing oxygen causes the syste m to expand or contract\, respectively. The work function helps assess the system’s reactivity. Absorbing oxygen atoms decreases reactivity\, whil e removing oxygen increases it. The calculations were executed concurrentl y on 24 of the 2400 available cores\, leveraging CHPC with 2048 MB of memo ry. These findings provide insights into identifying catalysts that can en hance the oxygen reduction reaction (ORR) and oxygen evolution reaction (O ER)\, thereby improving the performance of Zn-air batteries.\n\nhttps://ev ents.chpc.ac.za/event/155/contributions/2873/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/2873/ END:VEVENT BEGIN:VEVENT SUMMARY:Holes\, Hops and Haven Ratios—Molecular Dynamics of Ion Transpor t and Transference in MFSI/[C₄C₁pyr][FSI] electrolytes (M = Li\, Na\, K) DTSTART;VALUE=DATE-TIME:20251201T123000Z DTEND;VALUE=DATE-TIME:20251201T125000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2911@events.chpc.ac.za DESCRIPTION:Speakers: Gerhard Venter (University of Cape Town)\nRoom-tempe rature ionic liquids (ILs) are molten salts with negligible vapour pressur e and wide electrochemical windows\, making them attractive electrolytes f or beyond-lithium batteries [1]. Optimising transport properties—such as conductivity\, self-diffusion\, and the working-ion transference number ( the fraction of the total ionic current carried by Li⁺/Na⁺/K⁺ from t he added salt)—requires further quantitative\, molecular-scale insight i nto how charge and mass move. Equilibrium molecular dynamics (MD) provides this insight by enabling transport coefficients and mechanistic signature s to be extracted from atomistic simulations. The rate capability of a bat tery is tightly coupled to the transport properties of the electrolyte\; f ormulations that raise the working-ion transference number while maintaini ng adequate conductivity are preferred [2]. \n\nIn this work\, MD simulati ons were used to probe 1-butyl-1-methylpyrrolidinium bis(fluorosulfonyl)im ide ([C₄C₁pyr][FSI]) mixed with MFSI (M = Li\, Na\, K) at salt mole fr actions of 0.10\, 0.20\, 0.40 and *T* = 348.15 K. A non-polarisable model based on the well-established CL&P force field was employed [3]\; however\ , non-bonded interaction parameters were adjusted to better reflect symmet ry-adapted perturbation theory (SAPT) decomposition of pairwise interactio ns\, including cation–anion and metal-salt pairs. Equilibrium trajectori es of ≥250 ns per state point were generated with LAMMPS [4]. Self-diffu sion coefficients were obtained from Einstein mean-squared displacements\, and ionic conductivity was computed using the Green–Kubo/Einstein–Hel fand formulation. The analysis includes Nernst–Einstein estimates of con ductivity ($\\sigma_\\text{NE}$)\, Haven ratios ($\\sigma_\\text{NE}/\\sig ma$) and its inverse (ionicity\, $\\sigma/\\sigma_\\text{NE}$)\, and both apparent transference numbers (from self-diffusion coefficients) and real/ collective transference numbers from conductivity decomposition in an Onsa ger framework. Mechanisms of ion transport are examined via Van Hove corre lation functions (self and distinct)\, the non-Gaussian parameter\, ion– anion residence times\, and coordination numbers. Hole (free-volume) theor y is evaluated as a compact model for conductivity across composition.\n\n HPC Content: Strong scaling was assessed for fixed-size systems of 256\, 5 12\, and 1024 ion pairs on 1–64 CPU cores (MPI ranks)\; wall-time per ns and ns/day were recorded to determine speedup and parallel efficiency. Fo r one representative state point\, transport properties are compared acros s these system sizes to illustrate finite-size effects.\n\n[1] Yang\, Q.\; Zhang\, Z.\; Sun\, X.-G.\; Hu\, Y.-S.\; Xing\, H.\; Dai\, S.\, Ionic liqu ids and derived materials for lithium and sodium batteries. *Chem. Soc. Re v.* **2018**\, 47\, 2020-2064.\n[2] Chen\, Z.\; Danilov\, D. L.\; Eichel\, R.-A.\; Notten\, P. H. L.\, Porous Electrode Modeling and its Application s to Li-Ion Batteries. *Adv. Energy Mater.* **2022**\, *12*\, 2201506.\n[3 ] Canongia Lopes\, J. N.\; Pádua\, A. A. H.\, CL&P: A generic and systema tic force field for ionic liquids modeling. *Theor. Chem. Acc.* **2012**\, *131*\, 1-11.\n[4] Thompson\, A. P.\; Aktulga\, H. M.\; Berger\, R.\; Bol intineanu\, D. S.\; Brown\, W. M.\; Crozier\, P. S.\; in 't Veld\, P. J.\; Kohlmeyer\, A.\; Moore\, S. G.\; Nguyen\, T. D.\; Shan\, R.\; Stevens\, M . J.\; Tranchida\, J.\; Trott\, C.\; Plimpton\, S. J.\, LAMMPS - a flexibl e simulation tool for particle-based materials modeling at the atomic\, me so\, and continuum scales. *Comput. Phys. Commun.* **2022**\, *271*\, 1081 71.\n\nhttps://events.chpc.ac.za/event/155/contributions/2911/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/2911/ END:VEVENT BEGIN:VEVENT SUMMARY:Recommendations for Running Bioinformatics Applications on CHPC DTSTART;VALUE=DATE-TIME:20251201T121000Z DTEND;VALUE=DATE-TIME:20251201T123000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2910@events.chpc.ac.za DESCRIPTION:Speakers: Thandeka Mavundla (University of Cape Town)\nRunning large-scale bioinformatics analyses on high-performance computing (HPC) i nfrastructure like the CHPC can significantly accelerate research\, but co mes with technical challenges—especially for researchers aiming to deplo y complex workflows such as those built with Nextflow. In this talk\, I pr esent practical recommendations and lessons learned from testing and runni ng various bioinformatics applications on the CHPC\, with a particular foc us on containerised workflows and resource optimisation.\n\nDrawing from r eal-world use cases and performance benchmarks\, I highlight key considera tions such as managing limited walltime\, dealing with module and environm ent setup\, optimising Singularity containers for reproducibility\, and ha ndling input/output bottlenecks. I also reflect on common pitfalls and how to overcome them—especially for researchers with limited systems admini stration experience.\n\nThis presentation aims to equip bioinformatics use rs with actionable guidance on how to run workflows more efficiently\, rep roducibly\, and with fewer frustrations on the CHPC infrastructure. It is also a call for continued collaboration between HPC support teams and doma in researchers to bridge the gap between computational capacity and resear ch usability.\n\nhttps://events.chpc.ac.za/event/155/contributions/2910/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/2910/ END:VEVENT BEGIN:VEVENT SUMMARY:CCAM Heavy Rainfall Simulations: Sensitivity to Initialization Dat asets DTSTART;VALUE=DATE-TIME:20251201T115000Z DTEND;VALUE=DATE-TIME:20251201T121000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2875@events.chpc.ac.za DESCRIPTION:Speakers: Tshifhiwa Rambuwani (South African Weather Service)\ nHeavy rainfall events are among the most damaging weather hazards worldwi de\, yet they remain difficult to simulate accurately. One key source of u ncertainty is the choice of input data used to initialize weather and clim ate models. In this study\, we tested how sensitive the Conformal Cubic At mospheric Model (CCAM) is to different initialization datasets\, including ERA5\, GFS\, GDAS\, and JRA-3Q. Using the CHPC Lengau cluster\, we ran hi gh-resolution (3 km) convection-permitting simulations\, which allowed us to capture the fine-scale features of a 3-4 June 2024 heavy rainfall event over the eastern parts of South Africa.\nWe evaluated the simulations aga inst radar and IMERG satellite precipitation estimates. While all runs rep roduced the evening peak in rainfall timing\, they generally underestimate d intensity. Among the datasets\, ERA5 produced the most reliable simulati ons\, showing the closest match to IMERG with the lowest errors and highes t correlation. In contrast\, JRA-3Q and GFS-FNL performed less well. These results show that the choice of initialization dataset has a clear impact on rainfall prediction skill\, and highlight the value of HPC-enabled sen sitivity studies for improving extreme weather forecasting in the region.\ n\nhttps://events.chpc.ac.za/event/155/contributions/2875/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/2875/ END:VEVENT BEGIN:VEVENT SUMMARY:Active-learning driven chemical space exploration and relative bin ding affinity estimation of SARS-CoV-2 PLpro inhibitors using FEP+ DTSTART;VALUE=DATE-TIME:20251201T094000Z DTEND;VALUE=DATE-TIME:20251201T100000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2874@events.chpc.ac.za DESCRIPTION:Speakers: Njabulo Gumede (Walter Sisulu University)\nThe globa l pandemic\, initiated by the SARS-CoV-2 virus and emerging in 2020\, has profoundly influenced humanity\, resulting in 772.4 million confirmed case s and approximately 7 million fatalities as of December 2023. The resultan t negative impacts of travel restrictions and lockdowns have highlighted t he critical need for enhanced preparedness for future pandemics. This stud y primarily addresses this need by traversing chemical space to design inh ibitors targeting the SARS-CoV-2 papain-like protease (PLpro). Pathfinder- based retrosynthesis analysis was employed to synthesize analogues of the hit\, GRL-0617 using commercially available building blocks through the su bstitution of the naphthalene moiety. A total of 10 models were developed using active learning QSAR methods\, which demonstrated robust statistical performance\, including an R2 > 0.70\, Q2 > 0.64\, standard deviation \n\ nhttps://events.chpc.ac.za/event/155/contributions/2874/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/2874/ END:VEVENT BEGIN:VEVENT SUMMARY:Reference Genome Assembly\, Pangenome Construction\, and Populatio n Analysis of the Spotted Hyena (Crocuta Crocuta) from the Kruger National Park DTSTART;VALUE=DATE-TIME:20251201T100000Z DTEND;VALUE=DATE-TIME:20251201T102000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2909@events.chpc.ac.za DESCRIPTION:Speakers: Ansia van Coller (South African Medical Research Cou ncil)\nThe spotted hyena (Crocuta crocuta) is a highly social carnivore wi th a complex behavioural and ecological functions\, making it an important model for studying genetic diversity\, adaptation\, and evolution. Howeve r\, previous draft genomes for C. crocuta have been incomplete and derived from captive individuals\, limiting insights into natural genetic variati on. Here\, we present a high-quality de novo genome assembly and the first pangenome of wild spotted hyenas sampled from the Kruger National Park\, South Africa\, alongside population-level analysis.\n\nUsing Oxford Nanop ore Technologies (ONT) long-read sequencing\, we assembled a 2.39 Gb refer ence genome with a scaffold N50 of 19.6 Mb and >98% completeness. We furth er performed short-read resequencing at 10-32X depth per individual\, reve aling >4 million single nucleotide variations and and ~1 million insertion s and deletions per individual. To capture genomic variation beyond a sing le reference\, we constructed a draft pangenome using Progressive Genome G raph Builder (PGGB). The resulting pangenome comprises ~2.47 Gb\, with 35. 2 million nodes\, 48.4 million edges\, and 159\,060 paths\, incorporating sequences from all individuals. Its graph structure revealed substantial t opological differences\, which may correspond to biologically relevant var iations.\n\nThe breadth of these analyses required extensive use of the CH PC’s computing resources. Long-read genome assembly and polishing were e xecuted on high-memory nodes to accommodate the error-correction and scaff olding steps. Repeat and gene annotation pipelines (RepeatModeler\, BRAKER 3) as well as variant discovery with GATK and BCFtools were parallelised t o accelerate execution. Pangenome graph construction was particularly comp utationally intensive\, requiring large-scale parallelisation and signific ant memory and storage capacity to manage multi-genome alignments and grap h building. \n\nThis study provides the most contiguous wild-derived genom e to date for the species\, the first draft pangenome for C. crocuta\, and establishes a foundation for future conservation and comparative genomics . Importantly\, it demonstrates the critical role of HPC resources in enab ling large-scale bioinformatics pipelines - from genome assembly to pangen ome construction and population-level analysis - in non-model organisms.\n \nhttps://events.chpc.ac.za/event/155/contributions/2909/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/2909/ END:VEVENT BEGIN:VEVENT SUMMARY:Is it Time to Switch to Machine Learnt Potentials? DTSTART;VALUE=DATE-TIME:20251201T092000Z DTEND;VALUE=DATE-TIME:20251201T094000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2912@events.chpc.ac.za DESCRIPTION:Speakers: Scott Woodley (University College London)\nFor over two decades I have been developing new interatomic potentials\, e.g.\, imp lemented the AOM within GULP that can be employed to model non-spherical J ahn Teller Mn(III) ions\, successfully refined potential parameters to mod el numerous systems including the Peierls' phase transition of VO2\, and I am the author of a [published interatomic potential parameter database][ 1]. My interest is driven by the ability to control what physics is includ ed (or not) by the introduction of new terms to the Hamiltonian (or potent ial energy) and it is an approach many will follow as\, compared to DFT\, it allows for modelling systems of larger sizes (more atoms)\, greater tim e periods (in MD)\, and more sampling (global optimisation and/or calculat ing the partition function).\n\nNow ML potentials\, which have many more p arameters to refine and a minefield of differing functional forms to choos e\, have become very topical as data required to fit these as well as comp uter resources have become more readily available. My first real experienc e came with one of my earlier PhD students discovering that it was not str aightforward to develop a suitable model (fit parameters)\, for example\, the GAP ML potentials we have refined suffered from the erroneous oscillat ions.\n\nI lead UK's [Materials Chemistry Consortium][2] and one of our cu rrent aims is to make the use of ML potentials more accessible to our comm unity. Simultaneously\, other groups have begun refining ML-Potential mode ls for the entire Periodic table based on reproducing DFT results. In my p resentation I will present results from three of my PGT students who worke d on energy materials using the [JANUS-core][3] code to calculate the ener gy and forces\, based on pre-refined MACE ML-Potentials. Moreover\, I will include [recently published results][4] on dense and microporous silica m aterials where these potentials performed particularly well and further re sults of ongoing research from the MCC.\n\n\n [1]: https://mcc.chem.ucl.a c.uk/Potentials\n [2]: https://mcc.hec.ac.uk\n [3]: http://doi.org/10.52 81/zenodo.15474934.\n [4]: https://doi.org/%2010.1039/d5cp01882j\n\nhttps ://events.chpc.ac.za/event/155/contributions/2912/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/2912/ END:VEVENT BEGIN:VEVENT SUMMARY:Entangled Worlds: Engineering\, Physics\, Applied Mathematics\, an d the Future of High-Performance Computing. DTSTART;VALUE=DATE-TIME:20251201T090000Z DTEND;VALUE=DATE-TIME:20251201T092000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2907@events.chpc.ac.za DESCRIPTION:Speakers: Muaaz Bhamjee* (University of Pretoria)\nThe present ation will discuss the use of traditional computational methods\, machine and deep learning\, as well as quantum computing and quantum machine learn ing (as a new frontier) in addressing challenges in fluid dynamics\, dynam ical systems\, and high-energy physics research. And the talk will highlig ht the role of the CHPC in democratising access to critical resources and the enablement of such research.\n\nhttps://events.chpc.ac.za/event/155/co ntributions/2907/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/2907/ END:VEVENT BEGIN:VEVENT SUMMARY:Is AI Killing HPC? No\, it isn’t\, and it’s a stupid question DTSTART;VALUE=DATE-TIME:20251201T133000Z DTEND;VALUE=DATE-TIME:20251201T135000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2660@events.chpc.ac.za DESCRIPTION:Speakers: Dan Olds (Olds Research)\nIndustry analyst Dan Olds will discuss this issue and lay out his views on what he sees as an inane question. Expect some sarcasm\, overblown rhetoric\, and derision in this mercifully short presentation.\n\nhttps://events.chpc.ac.za/event/155/cont ributions/2660/ LOCATION:Century City Conference Centre 1/0-AB - Hall A+B URL:https://events.chpc.ac.za/event/155/contributions/2660/ END:VEVENT BEGIN:VEVENT SUMMARY:Industry Crossfire DTSTART;VALUE=DATE-TIME:20251201T135000Z DTEND;VALUE=DATE-TIME:20251201T150000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2659@events.chpc.ac.za DESCRIPTION:Speakers: Dan Olds (Olds Research)\nThis session has become a signature event at CHPC conferences. The rules are brutally simple. Vendor s have five minutes and only three slides to put their best foot forward t o the audience and the inquisitors. The panel includes industry analyst Da n Olds along with two standout students from the cluster competition who h ave been briefed on the vendors and their slides.\n \nAfter their five-min ute presentations\, the presenters will be asked three questions\, two of which they know are coming followed by a final\, secret\, question. Frank and tough questions will be asked. Answers will be given. Punches will no t be pulled. The audience will be the ultimate judge of which vendor did t he best job. It’s fun\, brisk\, and informative.\n\nhttps://events.chpc. ac.za/event/155/contributions/2659/ LOCATION:Century City Conference Centre 1/0-AB - Hall A+B URL:https://events.chpc.ac.za/event/155/contributions/2659/ END:VEVENT BEGIN:VEVENT SUMMARY:Q&A DTSTART;VALUE=DATE-TIME:20251201T125000Z DTEND;VALUE=DATE-TIME:20251201T130000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2631@events.chpc.ac.za DESCRIPTION:Speakers: Q&A ()\nQ&A\n\nhttps://events.chpc.ac.za/event/155/c ontributions/2631/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/2631/ END:VEVENT BEGIN:VEVENT SUMMARY:Q&A DTSTART;VALUE=DATE-TIME:20251201T102000Z DTEND;VALUE=DATE-TIME:20251201T103000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2589@events.chpc.ac.za DESCRIPTION:Speakers: Q&A ()\nQ&A\n\nhttps://events.chpc.ac.za/event/155/c ontributions/2589/ LOCATION:Century City Conference Centre 1/1-11 - Room 11 URL:https://events.chpc.ac.za/event/155/contributions/2589/ END:VEVENT BEGIN:VEVENT SUMMARY:Welcome DTSTART;VALUE=DATE-TIME:20251201T070000Z DTEND;VALUE=DATE-TIME:20251201T070500Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2578@events.chpc.ac.za DESCRIPTION:Speakers: Chair: Mr Mervyn Christoffels (CHPC)\nhttps://events .chpc.ac.za/event/155/contributions/2578/ LOCATION:Century City Conference Centre 1/0-AB - Hall A+B URL:https://events.chpc.ac.za/event/155/contributions/2578/ END:VEVENT BEGIN:VEVENT SUMMARY:DSTI Opening DTSTART;VALUE=DATE-TIME:20251201T071500Z DTEND;VALUE=DATE-TIME:20251201T072500Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2577@events.chpc.ac.za DESCRIPTION:Speakers: Mlungisi Cele ()\nhttps://events.chpc.ac.za/event/15 5/contributions/2577/ LOCATION:Century City Conference Centre 1/0-AB - Hall A+B URL:https://events.chpc.ac.za/event/155/contributions/2577/ END:VEVENT BEGIN:VEVENT SUMMARY:A Holistic Cyber Security Readiness Assessment Tool for Organisati ons in Developing Countries DTSTART;VALUE=DATE-TIME:20251201T123000Z DTEND;VALUE=DATE-TIME:20251201T130000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2983@events.chpc.ac.za DESCRIPTION:Speakers: Raymond Agyemang ()\, Steven Furnell (University of Nottingham)\, Tim Muller ()\nOrganisations in developing countries face un even cybersecurity readiness shaped by national laws\, institutional capac ity and market conditions. This paper proposes a Holistic Cybersecurity Re adiness Assessment (CSRA) that links an External Cybersecurity Environment Assessment (Tier 1) with an Internal Readiness Self-Assessment (Tier 2) a cross governance\, people\, pro-cess and technology. The tool integrates a structured review of standards and national initiatives with practitioner input to derive profiling dimensions and factors of relevance. The paper presents the instrument design\, scoring approach\, and reports an initial pilot to examine face and content validity The contribution is a practica ble method that aligns organisational control priorities with the external context so that improvement plans are defensible and se-quenced. Early fi ndings suggest the two-tier linkage clarifies dependencies be-tween regula tion\, capacity and internal practices. The paper concludes with limitatio ns and next steps for broader validation across multiple national settings .\n\nhttps://events.chpc.ac.za/event/155/contributions/2983/ LOCATION:Century City Conference Centre 1/1-10 - Room 10 URL:https://events.chpc.ac.za/event/155/contributions/2983/ END:VEVENT BEGIN:VEVENT SUMMARY:Assessing Students’ Knowledge of Cybersecurity at a Public South African University DTSTART;VALUE=DATE-TIME:20251201T113000Z DTEND;VALUE=DATE-TIME:20251201T120000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2981@events.chpc.ac.za DESCRIPTION:Speakers: Bertram Haskins ()\, Errol Baloyi ()\, Kerry-Lynn Th omson (Nelson Mandela University)\nThe increasing reliance on the Internet has exposed the triad of cybersecurity\, namely\, people\, processes\, an d technology\, to various cyberattacks. Moreover\, factors such as the Cor onavirus Disease 2019 (COVID-19) pandemic have con-tributed to the rise in these attacks. Students\, who are heavy Internet users\, are not immune t o these cyberattacks. Several studies have identified students as primary targets of cyberattacks at Higher Education Institutions (HEIs)\, largely due to their limited knowledge of how to protect themselves online. As a r esult\, this study investigated the Cybersecurity Awareness (CSA) of stude nts at a South African public HEI. The objective was to gauge students' kn owledge of cybersecurity. The study employed a quantitative research desig n\, using a structured questionnaire administered through QuestionPro. The sample consisted of students from seven faculties. The instrument assesse d students' awareness across several cybersecurity topics: phishing\, anti virus\, identity theft\, cyberbullying\, piracy\, password security\, and malware. A total of 381 responses were collected and subjected to statisti cal analysis. The findings indicated that while students demonstrated stro ng awareness in identity theft and cyberbullying\, significant deficiencie s were observed in phishing\, password management\, and antivirus usage.\n \nhttps://events.chpc.ac.za/event/155/contributions/2981/ LOCATION:Century City Conference Centre 1/1-10 - Room 10 URL:https://events.chpc.ac.za/event/155/contributions/2981/ END:VEVENT BEGIN:VEVENT SUMMARY:Personal Information Disclosure on Facebook: An Exploratory Study of Demographic differences of first-year IT students at Nelson Mandela Uni versity DTSTART;VALUE=DATE-TIME:20251201T100000Z DTEND;VALUE=DATE-TIME:20251201T103000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2980@events.chpc.ac.za DESCRIPTION:Speakers: Asavela Ndzondzo ()\, Kerry-Lynn Thomson (Nelson Man dela University)\, Reinhardt Botha (Noroff University College & Nelson Man dela University)\nThis study is an exploratory study to understand the rol e of gender\, home ar-ea\, and high school area in Willingness to disclose information\, Benefits\, Privacy Risks\, Subjective Norms\, and Perceived Behavioural Control. This study used Privacy Calculus and the Theory of P lanned Behaviour to formu-late a five-construct questionnaire. An empirica l data sample of 133 first-year IT students at Nelson Mandela University w as collected. The results of the study indi-cate that males are more likel y to disclose information on Facebook com-pared to females\, and they perc eive more benefits. Additionally\, males are more likely to be influenced by others to disclose information compared to females. Surprisingly\, Priv acy Risks and Perceived Behavioural Control have no significant impact on gender. Secondly\, students in a Rural area are more willing to disclose t heir personal information on Facebook compared to those in an Urban or Sub urban area\, they perceive more benefits compared to those in an Urban or Suburban area\, and students in an Urban or Suburban area are more aware o f privacy risks compared to students in a Rural area. Social Norms and Per ceived Behavioural Control have no significant impact on the home area. La stly\, students from Rural high schools perceive more benefits\, and they are more likely to be influenced by others compared to those in Urban or S uburban areas. Willingness to disclose information\, Pri-vacy Risks and Pe rceived Behavioural Control have no significant impact on the high school area.\n\nhttps://events.chpc.ac.za/event/155/contributions/2980/ LOCATION:Century City Conference Centre 1/1-10 - Room 10 URL:https://events.chpc.ac.za/event/155/contributions/2980/ END:VEVENT BEGIN:VEVENT SUMMARY:A Trust Framework for Peer-to-Peer Energy Markets DTSTART;VALUE=DATE-TIME:20251201T093000Z DTEND;VALUE=DATE-TIME:20251201T100000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2979@events.chpc.ac.za DESCRIPTION:Speakers: Boitumelo Leotlela ()\, Lehlogonolo Ledwaba ()\, Mar ijke Coetzee (North-West University)\nPeer-to-peer energy markets rely on trust to enable secure participation\; however\, existing trust models oft en address only isolated trust concerns. This fragmented approach leaves s ignificant gaps in ensuring holistic trust across the peer-to-peer energy market\, exposing participants to market-related threats. To address this\ , the paper proposes a trust framework grounded in the Trust over IP (ToIP ) model\, which integrates technical mechanisms and governance policies to sustain trust in decentralised environments. Using the STRIDE threat mode l\, key threats in the peer-to-peer energy market are identified\, while a lso analysing how existing research mitigates these risks. The correspondi ng trust and security mechanisms are then mapped to the ToIP architecture\ , offering a comprehensive approach to trust establishment that unifies so cial-behavioural and security dimensions of trust. By leveraging ToIP as a formal foundation for trust establishment in this work\, the proposed fra mework provides a holistic approach to building and maintaining trust in t he market\, thereby fostering greater user confidence and encouraging broa der market participation.\n\nhttps://events.chpc.ac.za/event/155/contribut ions/2979/ LOCATION:Century City Conference Centre 1/1-10 - Room 10 URL:https://events.chpc.ac.za/event/155/contributions/2979/ END:VEVENT BEGIN:VEVENT SUMMARY:Advancing South Africa’s Research Data Ecosystem: Infrastructure \, Innovation\, and Collaboration. DTSTART;VALUE=DATE-TIME:20251203T090000Z DTEND;VALUE=DATE-TIME:20251203T092000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2970@events.chpc.ac.za DESCRIPTION:Speakers: More Manda (CSIR)\nDIRISA: Update on Data Infrastruc ture for Research Data Management and Collaborations\; \nDr More Manda.\n\ nhttps://events.chpc.ac.za/event/155/contributions/2970/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/2970/ END:VEVENT BEGIN:VEVENT SUMMARY:Q&A DTSTART;VALUE=DATE-TIME:20251201T125000Z DTEND;VALUE=DATE-TIME:20251201T130000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2968@events.chpc.ac.za DESCRIPTION:https://events.chpc.ac.za/event/155/contributions/2968/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/2968/ END:VEVENT BEGIN:VEVENT SUMMARY:Password Security Quantum Readiness Framework for IT Professionals DTSTART;VALUE=DATE-TIME:20251201T123000Z DTEND;VALUE=DATE-TIME:20251201T125000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2952@events.chpc.ac.za DESCRIPTION:Speakers: Anele Siwela (CSIR)\nThe rise of quantum computing p oses a serious threat to password-based security systems \nand could break the methods we currently use to keep data safe\, putting sensitive inform ation \nat risk. For example\, Grover’s algorithm\, a well-known quantum algorithm can make bruteforce password attacks much faster by reducing th e number of guesses needed roughly by the \nsquare root of the total numbe r of possible passwords\, which could result in attacks being \nthousands of times faster for large key spaces. \nThis research proposes a Password Security Quantum Readiness Framework to help IT \nprofessionals maintain b usiness continuity in the face of sudden quantum-driven password \nsecurit y shifts. The study aims to assess the risk that quantum computing poses t o password \nsecurity\, evaluate countermeasures including quantum-resista nt hashing\, multi-factor or \npassword-less authentication\, upgrading ha shing protocols to post-quantum standards and \nother protections to mitig ate these risks.-\nA qualitative-methods design supports the study. First\ , a thorough literature review will be \nconducted to investigate the pass word security risk posed by quantum computing. Second\, a \nsystematic lit erature will be conducted to investigate possible counter measures for mit igating \npassword security risk related to quantum computing. Third\, Cri tical Reasoning will be used \nidentify and extract key constructs for for mulating the framework.\nBusinesses can protect sensitive information from emerging quantum technologies by \ndeveloping a quantum readiness framewo rk for password security. This framework will help IT \nprofessionals unde rstand the risks posed by quantum computing and equip them to address \npa ssword cybersecurity challenges\, creating a business-continuity architect ure to safeguard \npassword infrastructure and ensure operational resilien ce in the evolving quantum landscape.\n\nhttps://events.chpc.ac.za/event/1 55/contributions/2952/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/2952/ END:VEVENT BEGIN:VEVENT SUMMARY:Identification of Quantum Hardware based on Noise Fingerprint Usin g Machine Learning DTSTART;VALUE=DATE-TIME:20251201T121000Z DTEND;VALUE=DATE-TIME:20251201T123000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2957@events.chpc.ac.za DESCRIPTION:Speakers: Rameez Abdool (Wits)\, Jenna Epstein (Wits)\nThis pr oject focuses on identifying quantum hardware based on its unique "quantum \nnoise fingerprint" using machine learning. Each quantum computer exhibi ts a distinct \nnoise signature due to physical imperfections\, and recogn izing these patterns can aid in \nhardware development\, calibration\, and security. We utilized basic machine learning \nalgorithms (SVM\, KNN) to analyse noise characteristics and predict which IBM quantum \nmachine exec uted a given circuit. \nMethodology and Observations\nData was gathered fr om IBM's Qiskit platform\, including actual hardware runs (facilitated \nb y a CSIR educational license) and refreshed software simulations. An HPC c luster was \nessential for processing and simulating the extensive dataset s due to the computational \ndemands\, allowing for efficient parallel dat a transformation. The SVM and KNN machine \nlearning models were then trai ned on this data\, after feature engineering and parameter \ntuning was co mpleted. Initial findings showed high accuracy (over 96%) when models \nwe re trained and tested on data within the same category (e.g.\, training on hardware data \nand testing on hardware data). However\, a significant dr op in accuracy was observed \nwhen attempting to identify machines across different data types (e.g.\, training on \nsoftware simulations and testin g on actual hardware). Furthermore\, we noted that IBM's \nrefreshed simul ation noise models are not static and evolve over time\n\nhttps://events.c hpc.ac.za/event/155/contributions/2957/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/2957/ END:VEVENT BEGIN:VEVENT SUMMARY:Classical and Quantum Computational Complexity of the Ramsey Numbe r Problem DTSTART;VALUE=DATE-TIME:20251201T113000Z DTEND;VALUE=DATE-TIME:20251201T115000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2950@events.chpc.ac.za DESCRIPTION:Speakers: Brendan Griffiths (University of the Witwatersrand)\ nRamsey Numbers are a computationally difficult problem to solve. The expe cted runtime of any algorithm to find a Ramsey Number is in the computatio nal complexity class of $\\Pi_2^P$ or $\\text{co-NP}^\\text{NP}$ (Burr\, 1 987). Here we present some preliminary results from an optimized tree-sear ch algorithm to find the next Ramsey Number $R(4\,6)$ (Radziszowski\, 2024 ) and verify the result $R(5\,5)=45$ (Tamburini\, 2025) using modern paral lelisation techniques and improved hardware. We provide an analysis on the efficiency of this parallel algorithm compared to other implementations. We present current progress on generalising the algorithm to find the Rams ey Numbers for general associated structures.\n\nhttps://events.chpc.ac.za /event/155/contributions/2950/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/2950/ END:VEVENT BEGIN:VEVENT SUMMARY:Q&A DTSTART;VALUE=DATE-TIME:20251201T102000Z DTEND;VALUE=DATE-TIME:20251201T103000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2599@events.chpc.ac.za DESCRIPTION:https://events.chpc.ac.za/event/155/contributions/2599/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/2599/ END:VEVENT BEGIN:VEVENT SUMMARY:COMPARISON OF QUANTUM ALGORITHMS FOR QUADRATIC OPTIMIZATION DTSTART;VALUE=DATE-TIME:20251201T094000Z DTEND;VALUE=DATE-TIME:20251201T100000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2955@events.chpc.ac.za DESCRIPTION:Speakers: Helarie Rose Medie Fah (UKZN)\nOptimization problem s appear widely in science and industry\, yet their classical solutions of ten demand considerable computational resources. Quantum computing provide s a promising framework for addressing such problems more efficiently by e xploiting quantum superposition and entanglement [1]. In this work\, we in vestigate several quantum gradient descent [2] approaches to find the mini mum of a quadratic cost function. Performing the implementation through Am plitude encoding\, we begin by a quantum gradient descent algorithm with a phase estimation-based method. To further enhance performance\, we develo p and test additional strategies\, including linear combination of unitari es (LCUs) [3]\, the Sz.-Nagy dilation method [4]\, and a so-called unitary selection method\, where the cost function is explicitly defined as a qua dratic function. These methods are evaluated in terms of circuit depth\, n umber of iterations\, and accuracy. Our results show that the unitary sele ction outperforms phase estimation\, LCUs provide a further improvement\, and the Sz.-Nagy approach achieves the highest efficiency among all tested methods. This comparative study highlights the potential of pure quantum algorithms in solving real-world quadratic optimization problems.\n\n[1] N ielsen\, M. A.\, & Chuang\, I. L.\, Quantum Computation and Quantum Inform ation (10th Anniversary Edition\, 2010)\, Cambridge University Press.\n\n[ 2] Rebentrost\, P.\, Schuld\, M.\, Wossnig\, L.\, Petruccione\, F.\, and L loyd\, S.\, Quantum gradient descent and Newton’s method for constrained polynomial optimization\, New J. Phys.\, 21(7):073023\, (2019).\n\n[3] Ch akraborty\, Shantanav. "Implementing any linear combination of unitaries o n intermediate-term quantum computers." Quantum 8 (2024): 1496.\n\n[4] Gai kwad\, Akshay\, Arvind\, and Kavita Dorai. "Simulating open quantum dynami cs on an NMR quantum processor using the Sz.-Nagy dilation algorithm." Phy sical Review A 106.2 (2022): 022424.\n\nhttps://events.chpc.ac.za/event/15 5/contributions/2955/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/2955/ END:VEVENT BEGIN:VEVENT SUMMARY:Converting complex unitary matrices to quantum circuits using game trees DTSTART;VALUE=DATE-TIME:20251201T092000Z DTEND;VALUE=DATE-TIME:20251201T094000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2956@events.chpc.ac.za DESCRIPTION:Speakers: Sean Macmillan (University of Pretoria)\nQuantum cir cuits can be represented using complex unitary matrices. Certain algorithm s\, such as Shor's factoring algorithm\, produce a matrix that needs to be converted into a quantum circuit and executed multiple times as part of a larger quantum circuit. Current approaches use the mathematical propertie s of matrices to factor arbitrary matrices into a different set of matrice s that must then be converted to quantum circuits. As such\, the available basis gates of a specific quantum computer are not considered during the process. These quantum circuits cannot be directly implemented on quantum computers and require a transpilation step\, where the produced quantum ci rcuit needs to be converted to a quantum circuit which can run on a specif ic quantum computer. The transpilation greatly increases the number of gat es used on the quantum computer\, which increases the execution time neede d on quantum hardware\, and increases the noise observed during experiment s. This study proposes a novel approach to convert complex unitary matrice s into quantum circuits\, while also minimising the number of gates used b y the quantum computer. The proposed approach utilises a game tree\, where the basis gates for a specific quantum computer are used to ensure that a n optimal solution is found. The process of converting an arbitrary matrix to a quantum circuit can be modelled by storing the matrix representation of a quantum circuit and then adding new gates one at a time and recalcul ating the matrix representation. These matrices can be thought of as state s in a game tree. At each state in the game tree\, the valid moves are all the basis gates for a given quantum computer. The goal matrix can then be found by searching the generated game tree for a state with the same matr ix representation as the goal matrix\, and the corresponding path of the t ree will correspond to the gates which produce the quantum circuit. This s tudy investigates the generation and traversal of such quantum game trees. This includes efficient matrix storage in the game tree coupled with comp ression algorithms\, as well as the accuracy functions necessary to search the game tree for the desired matrix.\n\nhttps://events.chpc.ac.za/event/ 155/contributions/2956/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/2956/ END:VEVENT BEGIN:VEVENT SUMMARY:Q&A DTSTART;VALUE=DATE-TIME:20251203T102000Z DTEND;VALUE=DATE-TIME:20251203T103000Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2590@events.chpc.ac.za DESCRIPTION:https://events.chpc.ac.za/event/155/contributions/2590/ LOCATION:Century City Conference Centre 1/1-7 - Room 7 URL:https://events.chpc.ac.za/event/155/contributions/2590/ END:VEVENT BEGIN:VEVENT SUMMARY:The Evolving Coexistence of HPC and AI — The US Leadership Class Computing Facility and Other Developments. DTSTART;VALUE=DATE-TIME:20251203T160000Z DTEND;VALUE=DATE-TIME:20251203T164500Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2942@events.chpc.ac.za DESCRIPTION:Speakers: Dan Stanzione (Texas Advanced Computing Center)\nThi s talk will discuss the fast evolving symbiosis between HPC and AI from bo th a market and scientific point of view\, with a particular focus on how this manifests in the US National Science Foundation plans for the new Hor izon system\, part of the Leadership Class Computing Facility\, and other developments around the world this year in HPC.\n\nhttps://events.chpc.ac. za/event/155/contributions/2942/ LOCATION:Century City Conference Centre 1/0-AB - Hall A+B URL:https://events.chpc.ac.za/event/155/contributions/2942/ END:VEVENT BEGIN:VEVENT SUMMARY:CSIR Welcome DTSTART;VALUE=DATE-TIME:20251201T070500Z DTEND;VALUE=DATE-TIME:20251201T071500Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2576@events.chpc.ac.za DESCRIPTION:Speakers: Sandile Malinga (Group Executive)\nhttps://events.ch pc.ac.za/event/155/contributions/2576/ LOCATION:Century City Conference Centre 1/0-AB - Hall A+B URL:https://events.chpc.ac.za/event/155/contributions/2576/ END:VEVENT BEGIN:VEVENT SUMMARY:NICIS Welcome DTSTART;VALUE=DATE-TIME:20251201T072500Z DTEND;VALUE=DATE-TIME:20251201T074500Z DTSTAMP;VALUE=DATE-TIME:20260511T030429Z UID:indico-contribution-155-2575@events.chpc.ac.za DESCRIPTION:Speakers: Happy Sithole (CHPC)\nhttps://events.chpc.ac.za/even t/155/contributions/2575/ LOCATION:Century City Conference Centre 1/0-AB - Hall A+B URL:https://events.chpc.ac.za/event/155/contributions/2575/ END:VEVENT END:VCALENDAR