BEGIN:VCALENDAR VERSION:2.0 PRODID:-//CERN//INDICO//EN BEGIN:VEVENT SUMMARY:Questions and Discussion DTSTART;VALUE=DATE-TIME:20231207T100000Z DTEND;VALUE=DATE-TIME:20231207T103000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1968@events.chpc.ac.za DESCRIPTION:Speakers: Q&A ()\nhttps://events.chpc.ac.za/event/125/contribu tions/1968/ LOCATION:Skukuza 1-1-2 - Ndau URL:https://events.chpc.ac.za/event/125/contributions/1968/ END:VEVENT BEGIN:VEVENT SUMMARY:® Next DC Design for Generative AI workloads & HPC DTSTART;VALUE=DATE-TIME:20231205T115000Z DTEND;VALUE=DATE-TIME:20231205T121000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1975@events.chpc.ac.za DESCRIPTION:Speakers: Pramod Venkatesh ()\nThe evolution of data center (D C) design over the years has been pivotal in shaping the digital landscape \, particularly with the rise of Web 2.0 and now\, the advent of Generativ e AI. Initially\, the growth of Web 2.0 was underpinned by technologies th at focused on increasing data storage capacities and improving network ban dwidth to support burgeoning internet services and cloud computing. As we step into the era of Generative AI\, the demands on DCs have dramatically escalated\, requiring not just enhanced storage and connectivity\, but als o unprecedented computational power and energy efficiency. The new DC desi gns are poised to future-proof themselves by adopting cutting-edge technol ogies like advanced cooling systems\, AI-driven automation for operational efficiency\, and modular designs for scalable expansion.\n\nhttps://event s.chpc.ac.za/event/125/contributions/1975/ LOCATION:Skukuza 1-1-2+4 - Ndau + Nari URL:https://events.chpc.ac.za/event/125/contributions/1975/ END:VEVENT BEGIN:VEVENT SUMMARY:® Investigating machine learning techniques for precipitation fo recast in Brazil DTSTART;VALUE=DATE-TIME:20231206T093000Z DTEND;VALUE=DATE-TIME:20231206T094500Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-2008@events.chpc.ac.za DESCRIPTION:Speakers: Fabio Porto ()\nExtreme events of rainfall in Brazil are observing significant increase in the frequency and in the strength o f their occurrence. Recent events in the southeast part of the country led to casualties\, property damage\, and huge impact in the cities and their urban lives. Governments are installing alarms in endangered parts of the towns\, preparing evacuation instructions and event deallocating people t rying to avoid human loss in the next known-come large event. \nIn other t o support these initiatives\, we are developing different projects aiming at constructing predictive models to forecast the occurrence of strong rai nfall. The Rionowcast project is being carried on in a collaboration betwe en academic institutions in the Rio de Janeiro state and the Operation Cen ter of Rio de Janeiro (COR). The idea is to build AI spatio-temporal model s using a variety of data sources providing historical and real-time infor mation about the weather conditions in Rio de Janeiro. Data sources includ e: rain gauges\, weather stations\, radio-sonda\; ocean buoys\; satellite products\, radar products and numerical models. We are trying with differe nt DL model architectures from transformers to GNN\; from global to local models and ensembles\; and physical informed networks. \nIn order to foste r the collaboration among the different research groups\, we are using the Gypscie framework that supports data and model management and dataflow ex ecution.\nDuring the Digital Earth Session of the CHPC National Conference \, we intend to briefly present theses initiatives\n\nhttps://events.chpc. ac.za/event/125/contributions/2008/ LOCATION:Skukuza 1-1-2 - Ndau URL:https://events.chpc.ac.za/event/125/contributions/2008/ END:VEVENT BEGIN:VEVENT SUMMARY:® The Cambridge Open Zettascale Lab is hosting Dawn\, the UK’s fastest artificial intelligence (AI) supercomputer DTSTART;VALUE=DATE-TIME:20231207T121000Z DTEND;VALUE=DATE-TIME:20231207T123000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-2010@events.chpc.ac.za DESCRIPTION:Speakers: Paul Calleja (Cambridge University)\nDawn has been c reated via a highly innovative long-term co-design partnership between the University of Cambridge\, UK Research & Innovation\, the UK Atomic Energy Authority and global tech leaders Intel and Dell Technologies. This partn ership brings highly valuable technology first-mover status and inward inv estment into the UK technology sector. Dawn\, supported by UK Research and Innovation (UKRI)\, will vastly increase the country's AI and simulation compute capacity for both fundamental research and industrial use\, accele rating research discovery and driving growth within the UK knowledge econo my. It is expected to drive significant advancements in healthcare\, green fusion energy development and climate modelling. In this talk\, there wil l be opportunities for South African Scientists to develop a framework on access to Dawn and doing benchmarks for some of the applications relevant to South Africa. So do attend\, you might just win yourself part of the Di rector’s Discretionary time on Dawn.\n\nhttps://events.chpc.ac.za/event/ 125/contributions/2010/ LOCATION:Skukuza 1-1-2 - Ndau URL:https://events.chpc.ac.za/event/125/contributions/2010/ END:VEVENT BEGIN:VEVENT SUMMARY:® I/O behavior of scientific deep learning workloads DTSTART;VALUE=DATE-TIME:20231206T121000Z DTEND;VALUE=DATE-TIME:20231206T123000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1971@events.chpc.ac.za DESCRIPTION:Speakers: Hariharan Devarajan (Lawrence Livermore National Lab oratory)\nDeep learning has been shown as a successful method for various tasks\, and its popularity results in numerous open-source deep learning s oftware tools. Deep learning has been applied to a broad spectrum of scien tific domains such as cosmology\, particle physics\, computer vision\, fus ion\, and astrophysics. Scientists have performed a great deal of work to optimize the computational performance of deep learning frameworks. Howeve r\, the same cannot be said for I/O performance. As deep learning algorith ms rely on big-data volume and variety to effectively train neural network s accurately\, I/O is a significant bottleneck on large-scale distributed deep learning training.\n \nIn this talk\, I aim to provide a detailed inv estigation of the I/O behavior of various scientific deep learning workloa ds running on the Theta cluster at Argonne Leadership Computing Facility. In this talk\, I present DLIO\, a novel representative benchmark suite bui lt based on the I/O profiling of the selected workloads. DLIO can be utili zed to accurately emulate the I/O behavior of modern scientific deep learn ing applications. Using DLIO\, application developers and system software solution architects can identify potential I/O bottlenecks in their applic ations and guide optimizations to boost the I/O performance leading to low er training times by up to 6.7x.\n\nhttps://events.chpc.ac.za/event/125/co ntributions/1971/ LOCATION:Skukuza 1-1-2 - Ndau URL:https://events.chpc.ac.za/event/125/contributions/1971/ END:VEVENT BEGIN:VEVENT SUMMARY:® Mango-IO: I/O Metrics Consistency Analysis DTSTART;VALUE=DATE-TIME:20231206T115000Z DTEND;VALUE=DATE-TIME:20231206T121000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1970@events.chpc.ac.za DESCRIPTION:Speakers: Radita Liem (RWTH Aachen\, Germany)\nPerformance too ls are inseparable from complex HPC applications’ performance analysis a nd engineering life cycles. Due to the application’s complexity\, variou s performance analysis tools are created to serve different analysis purpo ses and provide a deeper look at certain aspects of the applications. Alth ough these tools might operate differently\, having coherent information a nd consistent metrics across all tools is mandatory for ensuring analysis continuity. It is common for performance analysts to switch their usual pe rformance tools due to various reasons and limitations. In this work\, we look specifically at the I/O performance analysis tools landscape and intr oduce Mango-IO to verify the result consistencies between tools and provid e tool-agnostic metrics calculation methods. Our analysis and case study p rovides lesson learned and guideline for ensuring measurement continuity a nd comparability.\n\nhttps://events.chpc.ac.za/event/125/contributions/197 0/ LOCATION:Skukuza 1-1-2 - Ndau URL:https://events.chpc.ac.za/event/125/contributions/1970/ END:VEVENT BEGIN:VEVENT SUMMARY:® Enable Fundamental Cacheability for Distributed Deep Learning T raining DTSTART;VALUE=DATE-TIME:20231206T113000Z DTEND;VALUE=DATE-TIME:20231206T115000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1969@events.chpc.ac.za DESCRIPTION:Speakers: Ali Butt (Virginia Tech)\nDeep learning training (DL T) applications exhibit unique I/O workload behaviors that pose new challe nges for storage system design. DLT is I/O intensive since data samples ne ed to be fetched continuously from a remote storage. Accelerators such as GPUs have been extensively used to support these applications. As accelera tors become more powerful and more data-hungry\, the I/O performance lags behind. This creates a crucial performance bottleneck\, especially in dist ributed DLT. At the same time\, the exponentially growing dataset sizes ma ke it impossible to store these datasets entirely in memory. While today ’s DLT frameworks typically use a random sampling policy that treat all samples uniformly equally\, recent findings indicate that not all samples are equally important and different data samples contribute differently to wards improving the accuracy of a model. This observation creates an oppor tunity for DLT I/O optimizations by exploiting the data locality enabled b y importance sampling.\n\nIn this talk\, I’ll present the design of SHAD E\, a new DLT-aware caching system that detects fine-grained importance va riations at per-sample level and leverages the variance to make informed c aching decisions for a distributed DLT job. SHADE adopts a novel\, rank-ba sed approach\, which captures the relative importance of data samples acro ss different mini-batches. SHADE then dynamically updates the importance s cores of all samples during training. With these techniques\, SHADE manage s to significantly improve the cache hit ratio\nof the DLT job\, and thus\ , improves the job’s training performance.\n\nhttps://events.chpc.ac.za/ event/125/contributions/1969/ LOCATION:Skukuza 1-1-2 - Ndau URL:https://events.chpc.ac.za/event/125/contributions/1969/ END:VEVENT BEGIN:VEVENT SUMMARY:® Integrating WRF and Hydrology Models for Improved Urban Flood F orecasting in Pune using HPC: A Comprehensive Approach for the Indian Metr opolis DTSTART;VALUE=DATE-TIME:20231206T094500Z DTEND;VALUE=DATE-TIME:20231206T100000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-2009@events.chpc.ac.za DESCRIPTION:Speakers: Manoj Khare ()\nPune is the second largest city in t he Indian state of Maharashtra\, situated over a complex topographical reg ion on the leeward side of the Western Ghats\, India. Recently\, Pune City has been experiencing frequent heavy to extreme rainfall events\, causing urban floods\, threatening lives\, and heavy socio-economic damage. The r ecent decade has witnessed the adverse effects of urban foods on daily lif e by destroying infrastructure\, water-logging that triggers foods\, disru pting transportation\, and resulting in the loss of lives and property. An efficient early warning system is a crucial requirement that remains chal lenging using a high-resolution numerical weather prediction (NWP) model. The complexity increases manifold\, particularly if the forecast has to be made on an urban scale to mitigate its adverse impacts.\nAn attempt is ma de to develop a coupled modelling system that integrates the Weather Resea rch and Forecasting (WRF) model with Hydrological to enhance urban flood f orecasting capabilities for an Indian city. Extensive work has been done t o set up the WRF model through sensitivity analysis of domain setup\, para meterisation schemes\, land-use information\, and initial conditions for r ainfall event forecasting over Pune. Model performance has been validated against various observations available through ground-based and satellite measurements. The rainfall forecast obtained from the WRF model at a very high resolution of 0.5 km has been provided to the hydrology model to simu late surface runoff\, stormwater discharge\, and depth in urban regions. T he developed coupled system was calibrated against past rainfall flood eve nts over Pune. This calibration ensured that the model represented the act ual behaviour of the system and the rainfall distribution in the sub-catch ments. This coupled system was used for simulations of recent floods of 20 22 and showed a good agreement with observations. Such coupling of hydro-m et systems can be a helpful tool to enhance urban flood forecasting. For t his work\, WRF model simulations were performed on HPC (PARAM series) usin g around 1900 processors.\n\nhttps://events.chpc.ac.za/event/125/contribut ions/2009/ LOCATION:Skukuza 1-1-2 - Ndau URL:https://events.chpc.ac.za/event/125/contributions/2009/ END:VEVENT BEGIN:VEVENT SUMMARY:Land surface model TerM: design\, applications and HPC aspects DTSTART;VALUE=DATE-TIME:20231206T090000Z DTEND;VALUE=DATE-TIME:20231206T091500Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1910@events.chpc.ac.za DESCRIPTION:Speakers: Victor Stepanenko (Moscow State University)\nTerrest rial model (TerM) is the land surface scheme developed jointly at the Inst itute of Numerical Mathematics RAS and Moscow State University. It has bee n originally a part of INM-CM Easth system model and SL-AV weather forecas ting system\, and is responsible for providing fluxes of radiation\, heat\ , moisture and greenhouse gases to the atmosphere from the land surface. T erM uses multilayer soil\, snow and lake models\, vegetation controls on e vaporation and energy exchange\, terrestrial carbon and methane cycles. Te rM is currently implemented also in a standalone mode\, enabling more flex ibility in land surface research. The standalone TerM includes advanced ri ver routing scheme\, and can be used in single-column\, regional and globa l domains of arbitrary longitude-latitude regular mesh\, forced by meteoro logical observations\, reanalysis\, or climate models data. It is suppleme nted with preprocessing system supplying external data on land cover types \, soil\, lakes\, rivers\, etc. To increase the model performance\, an aut omatic calibration system is developed. The model is implemented for multi core systems using MPI+OpenMP technologies. We present examples of the Ter M application for hydrological and carbon cycle studies.\n\nhttps://events .chpc.ac.za/event/125/contributions/1910/ LOCATION:Skukuza 1-1-2 - Ndau URL:https://events.chpc.ac.za/event/125/contributions/1910/ END:VEVENT BEGIN:VEVENT SUMMARY:Industry Crossfire Panel Programme DTSTART;VALUE=DATE-TIME:20231205T135000Z DTEND;VALUE=DATE-TIME:20231205T150000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-2007@events.chpc.ac.za DESCRIPTION:Speakers: Facilitated by: Mr Dan Olds (Intersect360 Research)\ nPlease join an informative and interesting session facilitated by Mr Dan Olds (Intersect360) where representatives from the conference sponsors wil l be talking about their technology offerings.\n\nThis will be an engaging and entertaining session for delegates to attend.\n\nThe representatives of the conference vendors are as follows:\n\nIntel: Mr Ahmed Al-jeshi\nHPE : Dr Utz-Uwe Haus\nDell Technologies: Mr Ryan Rautenbach\nNvidia: Mr Claud io Polla\nSupermicro: Mr Roger Crighton\nVAST: Mr Scott Howard\nSpectra Lo gic: Mr Miguel Castro\nHuawei: Mr Mpolokeng Marakalla\n\nhttps://events.ch pc.ac.za/event/125/contributions/2007/ LOCATION:Skukuza 1-1-0 - Ndlopfu Hall URL:https://events.chpc.ac.za/event/125/contributions/2007/ END:VEVENT BEGIN:VEVENT SUMMARY:HPC Market Overview DTSTART;VALUE=DATE-TIME:20231205T133000Z DTEND;VALUE=DATE-TIME:20231205T135000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-2006@events.chpc.ac.za DESCRIPTION:Speakers: Dan Olds (Intersect360 Research)\nTBC\n\nhttps://eve nts.chpc.ac.za/event/125/contributions/2006/ LOCATION:Skukuza 1-1-0 - Ndlopfu Hall URL:https://events.chpc.ac.za/event/125/contributions/2006/ END:VEVENT BEGIN:VEVENT SUMMARY:Data Management on HPC Workloads: Accelerating outcomes while pres erving data for future examination and collaboration DTSTART;VALUE=DATE-TIME:20231206T123000Z DTEND;VALUE=DATE-TIME:20231206T125000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1972@events.chpc.ac.za DESCRIPTION:Speakers: Miguel Castro (Spectralogic)\nProvide attendees with a detailed view of the Long-Term Digital Archive solution implemented at CSIR. \n\nThis solution enables CSIR to provide a high performance\, highl y scalable\, integrated archive ecosystem that allows internal departments and external organisations to collaborate\, archive and preserve data dri ven research in support of National Science and Strategic priorities.\n\nT he importance of arriving at the right data management strategy becomes pa ramount as the size of HPC datasets continues its inexorable march towards zettabytes.\n\nhttps://events.chpc.ac.za/event/125/contributions/1972/ LOCATION:Skukuza 1-1-2 - Ndau URL:https://events.chpc.ac.za/event/125/contributions/1972/ END:VEVENT BEGIN:VEVENT SUMMARY:SANReN Highlights DTSTART;VALUE=DATE-TIME:20231205T070000Z DTEND;VALUE=DATE-TIME:20231205T070500Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-2005@events.chpc.ac.za DESCRIPTION:Speakers: Sabelo Dlamini ()\nTBC\n\nhttps://events.chpc.ac.za/ event/125/contributions/2005/ LOCATION:Skukuza 1-1-0 - Ndlopfu Hall URL:https://events.chpc.ac.za/event/125/contributions/2005/ END:VEVENT BEGIN:VEVENT SUMMARY:DIRISA Highlights DTSTART;VALUE=DATE-TIME:20231205T065500Z DTEND;VALUE=DATE-TIME:20231205T070000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-2004@events.chpc.ac.za DESCRIPTION:Speakers: Anwar Vahed ()\nTBC\n\nhttps://events.chpc.ac.za/eve nt/125/contributions/2004/ LOCATION:Skukuza 1-1-0 - Ndlopfu Hall URL:https://events.chpc.ac.za/event/125/contributions/2004/ END:VEVENT BEGIN:VEVENT SUMMARY:CHPC Highlights DTSTART;VALUE=DATE-TIME:20231205T070500Z DTEND;VALUE=DATE-TIME:20231205T071000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-2003@events.chpc.ac.za DESCRIPTION:Speakers: Mervyn Christoffels (CHPC)\nhttps://events.chpc.ac.z a/event/125/contributions/2003/ LOCATION:Skukuza 1-1-0 - Ndlopfu Hall URL:https://events.chpc.ac.za/event/125/contributions/2003/ END:VEVENT BEGIN:VEVENT SUMMARY:NICIS Overview DTSTART;VALUE=DATE-TIME:20231205T064500Z DTEND;VALUE=DATE-TIME:20231205T065500Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-2002@events.chpc.ac.za DESCRIPTION:Speakers: Happy Sithole (CHPC)\nTBC\n\nhttps://events.chpc.ac. za/event/125/contributions/2002/ LOCATION:Skukuza 1-1-0 - Ndlopfu Hall URL:https://events.chpc.ac.za/event/125/contributions/2002/ END:VEVENT BEGIN:VEVENT SUMMARY:DSI Welcoming Remarks DTSTART;VALUE=DATE-TIME:20231205T063500Z DTEND;VALUE=DATE-TIME:20231205T064500Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-2001@events.chpc.ac.za DESCRIPTION:Speakers: Daniel Mokhohlane (DST)\nTBC\n\nhttps://events.chpc. ac.za/event/125/contributions/2001/ LOCATION:Skukuza 1-1-0 - Ndlopfu Hall URL:https://events.chpc.ac.za/event/125/contributions/2001/ END:VEVENT BEGIN:VEVENT SUMMARY:CSIR Welcoming Remarks DTSTART;VALUE=DATE-TIME:20231205T063000Z DTEND;VALUE=DATE-TIME:20231205T063500Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-2000@events.chpc.ac.za DESCRIPTION:Speakers: Lulama Wakaba (CSIR)\nTBC\n\nhttps://events.chpc.ac. za/event/125/contributions/2000/ LOCATION:Skukuza 1-1-0 - Ndlopfu Hall URL:https://events.chpc.ac.za/event/125/contributions/2000/ END:VEVENT BEGIN:VEVENT SUMMARY:Analytics of Threats based on Honeypot logs from CTIEP DTSTART;VALUE=DATE-TIME:20231206T141000Z DTEND;VALUE=DATE-TIME:20231206T143000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1995@events.chpc.ac.za DESCRIPTION:Speakers: Thabo Tshabalala ([TBC])\nhttps://events.chpc.ac.za/ event/125/contributions/1995/ LOCATION:Skukuza 1-1-4 - Nari URL:https://events.chpc.ac.za/event/125/contributions/1995/ END:VEVENT BEGIN:VEVENT SUMMARY:Simulation of the eThekwini Heat Island in South Africa DTSTART;VALUE=DATE-TIME:20231206T143000Z DTEND;VALUE=DATE-TIME:20231206T145000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1904@events.chpc.ac.za DESCRIPTION:Speakers: T. Robert Maisha (South African Weather Service )\nA BSTRACT\nThe study evaluates the performance of the Conformal-Cubic Atmosp heric Model (CCAM) when simulating an urban heat island (UHI) over the Cit y of eThekwini\, located along the southeast coast of South Africa. The CC AM model is applied at a grid length of 1 km on the panel with eThekwini\, in a stretched grid mode. The CCAM is coupled to the urban climate model (UCM) called the Australian Town Energy Budget (ATEB). The ATEB incorporat es measured urban parameters including building characteristics\, emission s\, and albedo. The ATEB incorporates the landcover boundary conditions ob tained from the Moderate Resolution Imaging Spectro-radiometer (MODIS) sat ellite. The CCAM configuration applied realistically captured the orientat ion of the city and landcover types. Simulations of meteorological variabl es such as temperatures and longwave radiation reproduced the spatial dist ribution and intensity of the UHI. Results shows that the UHI is stronger during summer and weaker in all other seasons. The UHI developed because o f natural factors (i.e.\, distribution of longwave radiation) and human fa ctors (i.e.\, urban expansion\, an increase in anthropogenic emissions\, a nd additional heating). Due to the city’s location along the coast\, the UHI simulation could be weakened by atmospheric circulations resulting fr om land and sea breezes. Mitigation methods such as applying reflective pa ints and re-vegetation of the city may increase albedo and latent heat flu xes but reduce the sensible heat fluxes and weakens the UHI. However\, the UHI may not be completely eliminated since natural factors emissions cons tantly influence its development.\n\nhttps://events.chpc.ac.za/event/125/c ontributions/1904/ LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1904/ END:VEVENT BEGIN:VEVENT SUMMARY:® A Shelter When the Storms Hit: How the CHPC Supports the South African Weather Service DTSTART;VALUE=DATE-TIME:20231206T113000Z DTEND;VALUE=DATE-TIME:20231206T115000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1994@events.chpc.ac.za DESCRIPTION:Speakers: Stephanie Landman (South African Weather Service)\nT BC\n\nhttps://events.chpc.ac.za/event/125/contributions/1994/ LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1994/ END:VEVENT BEGIN:VEVENT SUMMARY:Question and Discussions DTSTART;VALUE=DATE-TIME:20231207T123000Z DTEND;VALUE=DATE-TIME:20231207T130000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1993@events.chpc.ac.za DESCRIPTION:Speakers: Q&A ()\nTBC\n\nhttps://events.chpc.ac.za/event/125/c ontributions/1993/ LOCATION:Skukuza 1-1-2 - Ndau URL:https://events.chpc.ac.za/event/125/contributions/1993/ END:VEVENT BEGIN:VEVENT SUMMARY:Build diversified computing infrastructure\, unleash data value\, promote scientific\, technological\, and economic development DTSTART;VALUE=DATE-TIME:20231207T115000Z DTEND;VALUE=DATE-TIME:20231207T121000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1991@events.chpc.ac.za DESCRIPTION:Speakers: Zekelman Zhang ()\nTBC\n\nhttps://events.chpc.ac.za/ event/125/contributions/1991/ LOCATION:Skukuza 1-1-2 - Ndau URL:https://events.chpc.ac.za/event/125/contributions/1991/ END:VEVENT BEGIN:VEVENT SUMMARY:Simplifying HPC/AI Storage Using Industry Standard Protocol DTSTART;VALUE=DATE-TIME:20231207T113000Z DTEND;VALUE=DATE-TIME:20231207T115000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1967@events.chpc.ac.za DESCRIPTION:Speakers: Scott Howard ()\nTBC\n\nhttps://events.chpc.ac.za/ev ent/125/contributions/1967/ LOCATION:Skukuza 1-1-2 - Ndau URL:https://events.chpc.ac.za/event/125/contributions/1967/ END:VEVENT BEGIN:VEVENT SUMMARY:Questions DTSTART;VALUE=DATE-TIME:20231206T125000Z DTEND;VALUE=DATE-TIME:20231206T130000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1989@events.chpc.ac.za DESCRIPTION:https://events.chpc.ac.za/event/125/contributions/1989/ LOCATION:Skukuza 1-1-2 - Ndau URL:https://events.chpc.ac.za/event/125/contributions/1989/ END:VEVENT BEGIN:VEVENT SUMMARY:Overview of the South African National Research and Education Netw ork (SA NREN) DTSTART;VALUE=DATE-TIME:20231206T143000Z DTEND;VALUE=DATE-TIME:20231206T145000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1987@events.chpc.ac.za DESCRIPTION:Speakers: Ajay Makan (SANReN)\nhttps://events.chpc.ac.za/event /125/contributions/1987/ LOCATION:Skukuza 1-1-4 - Nari URL:https://events.chpc.ac.za/event/125/contributions/1987/ END:VEVENT BEGIN:VEVENT SUMMARY:A secure storage architecture for hosting digital forensic data in the public cloud environment DTSTART;VALUE=DATE-TIME:20231206T135000Z DTEND;VALUE=DATE-TIME:20231206T141000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1986@events.chpc.ac.za DESCRIPTION:Speakers: Vusani Mathoho ()\nhttps://events.chpc.ac.za/event/1 25/contributions/1986/ LOCATION:Skukuza 1-1-4 - Nari URL:https://events.chpc.ac.za/event/125/contributions/1986/ END:VEVENT BEGIN:VEVENT SUMMARY:Towards the development of a digital forensic readiness model for 5G NFV environments DTSTART;VALUE=DATE-TIME:20231206T133000Z DTEND;VALUE=DATE-TIME:20231206T135000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1985@events.chpc.ac.za DESCRIPTION:Speakers: Sheunesu Makura (University of Pretoria)\nhttps://ev ents.chpc.ac.za/event/125/contributions/1985/ LOCATION:Skukuza 1-1-4 - Nari URL:https://events.chpc.ac.za/event/125/contributions/1985/ END:VEVENT BEGIN:VEVENT SUMMARY:Questions DTSTART;VALUE=DATE-TIME:20231206T125000Z DTEND;VALUE=DATE-TIME:20231206T130000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1984@events.chpc.ac.za DESCRIPTION:Speakers: Questions ()\nhttps://events.chpc.ac.za/event/125/co ntributions/1984/ LOCATION:Skukuza 1-1-4 - Nari URL:https://events.chpc.ac.za/event/125/contributions/1984/ END:VEVENT BEGIN:VEVENT SUMMARY:Machine Learning Based Analysis of Dark Web for Cybersecurity Thre at Intelligence DTSTART;VALUE=DATE-TIME:20231206T123000Z DTEND;VALUE=DATE-TIME:20231206T125000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1983@events.chpc.ac.za DESCRIPTION:Speakers: Olalekan Ogunleye ([TBC])\nhttps://events.chpc.ac.za /event/125/contributions/1983/ LOCATION:Skukuza 1-1-4 - Nari URL:https://events.chpc.ac.za/event/125/contributions/1983/ END:VEVENT BEGIN:VEVENT SUMMARY:A State-of-the-Art Review of Digital Forensics Tools Pertaining to Covert Channel Detection DTSTART;VALUE=DATE-TIME:20231206T121000Z DTEND;VALUE=DATE-TIME:20231206T123000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1982@events.chpc.ac.za DESCRIPTION:Speakers: Kyra Coetzee ([TBC])\nhttps://events.chpc.ac.za/even t/125/contributions/1982/ LOCATION:Skukuza 1-1-4 - Nari URL:https://events.chpc.ac.za/event/125/contributions/1982/ END:VEVENT BEGIN:VEVENT SUMMARY:Model for the Generation of Digital Forensic Reports using AI Tech niques DTSTART;VALUE=DATE-TIME:20231206T115000Z DTEND;VALUE=DATE-TIME:20231206T121000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1981@events.chpc.ac.za DESCRIPTION:Speakers: Idani Mulaudzi ()\nhttps://events.chpc.ac.za/event/1 25/contributions/1981/ LOCATION:Skukuza 1-1-4 - Nari URL:https://events.chpc.ac.za/event/125/contributions/1981/ END:VEVENT BEGIN:VEVENT SUMMARY:Privacy Preservation in Vehicular Ad-hoc Networks (VANETs) DTSTART;VALUE=DATE-TIME:20231206T113000Z DTEND;VALUE=DATE-TIME:20231206T115000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1980@events.chpc.ac.za DESCRIPTION:Speakers: Eunice N. K. Hammond ()\nhttps://events.chpc.ac.za/e vent/125/contributions/1980/ LOCATION:Skukuza 1-1-4 - Nari URL:https://events.chpc.ac.za/event/125/contributions/1980/ END:VEVENT BEGIN:VEVENT SUMMARY:Questions DTSTART;VALUE=DATE-TIME:20231206T102000Z DTEND;VALUE=DATE-TIME:20231206T103000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1979@events.chpc.ac.za DESCRIPTION:Speakers: Questions ()\nhttps://events.chpc.ac.za/event/125/co ntributions/1979/ LOCATION:Skukuza 1-1-4 - Nari URL:https://events.chpc.ac.za/event/125/contributions/1979/ END:VEVENT BEGIN:VEVENT SUMMARY:Realtime Risk Assessment in Vehicular Ad-hoc Networks DTSTART;VALUE=DATE-TIME:20231206T100000Z DTEND;VALUE=DATE-TIME:20231206T102000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1978@events.chpc.ac.za DESCRIPTION:Speakers: Henry Gidudu ()\nhttps://events.chpc.ac.za/event/125 /contributions/1978/ LOCATION:Skukuza 1-1-4 - Nari URL:https://events.chpc.ac.za/event/125/contributions/1978/ END:VEVENT BEGIN:VEVENT SUMMARY:Continuous Authentication on Android mobile devices DTSTART;VALUE=DATE-TIME:20231206T094000Z DTEND;VALUE=DATE-TIME:20231206T100000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1977@events.chpc.ac.za DESCRIPTION:Speakers: Christopher Njaravani (University of Pretoria)\nhttp s://events.chpc.ac.za/event/125/contributions/1977/ LOCATION:Skukuza 1-1-4 - Nari URL:https://events.chpc.ac.za/event/125/contributions/1977/ END:VEVENT BEGIN:VEVENT SUMMARY:Ransomware Detection Using PE Entropy DTSTART;VALUE=DATE-TIME:20231206T092000Z DTEND;VALUE=DATE-TIME:20231206T094000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1976@events.chpc.ac.za DESCRIPTION:Speakers: Avinash Singh (University of Pretoria)\nhttps://even ts.chpc.ac.za/event/125/contributions/1976/ LOCATION:Skukuza 1-1-4 - Nari URL:https://events.chpc.ac.za/event/125/contributions/1976/ END:VEVENT BEGIN:VEVENT SUMMARY:Introduction DTSTART;VALUE=DATE-TIME:20231206T090000Z DTEND;VALUE=DATE-TIME:20231206T092000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1973@events.chpc.ac.za DESCRIPTION:Speakers: Hein Venter (University of Pretoria)\, Jan Eloff (Un iversity of Pretoria)\, Renier van Heerden (SANReN\, CSIR)\nWelcome and in troduction to the ISSA/SANReN track.\n\nhttps://events.chpc.ac.za/event/12 5/contributions/1973/ LOCATION:Skukuza 1-1-4 - Nari URL:https://events.chpc.ac.za/event/125/contributions/1973/ END:VEVENT BEGIN:VEVENT SUMMARY:KEYNOTE 5: QA^HPC – The Quest for Quantum/AI Optimized HPC Workf low DTSTART;VALUE=DATE-TIME:20231207T070000Z DTEND;VALUE=DATE-TIME:20231207T074500Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1938@events.chpc.ac.za DESCRIPTION:Speakers: Liwen Shih ()\nAs the emergence of ExaFLOPS Top500 S ystems like ORNL Frontier HPC cluster in June 2022\, we plan to apply our innovative fine-grained topology-aware software-hardware ATMapper to impro ve benchmark performance toward ExaFLOPS system’s peak performance. Due to application challenges in data movement\, limited degree of parallelis m\, sparse matrix and/or irregular workflow\, the sustained benchmark perf ormance like HPCG can only reach ~1% of system peak performance (14PF/1685 PF)\, compared to world’s best HPCG Benchmark of ~3% peak performance ( 16PF/537PF) by Riken Fugaku cluster in November 2022. Comparing two softwa re-hardware graph-mapping approaches for workflow partitioning/assignment/ scheduling in our previous 2021 DoE VFP project\, we tested Dr. Butko’s load-balanced LBNL TIGER mapper using D-Wave’s Quantum/SimulatedAnnealer \, and our Dr. Shih’s self-organizing load-imbalanceATMapper using AI A* search. We are optimistic about designing a better future Q/AI TIGER/ATMa pper hybrid to help most any complex\, irregular HPC applications finding the best topology-aware processor assignment (or application-custom networ k topology synthesis) given their computation workflow dependence constrai nts. Dr. Shih’s ATMapper is a self-organizing load-imbalanced static wor kload assignment/scheduler\, capable of an average 0.5 data hop on 90% of data movement (0 hop: reusing same processor node as possible\, or 1 hop: transferring data if necessary to immediate neighbor node)\, comparing to the typical 3 hops data movement among switches on ORNL Frontier Dragonfly topology enhanced by dynamic HPE Cray Slingshot Interconnect. We hope tha t our static algorithm-specific topology-aware ATMapper workload schedulin g will complement HPE’s Slingshot Interconnect dynamic run-time load-bal anced traffic routing optimization to increase HPCG software benchmark per formance (currently \n\nhttps://events.chpc.ac.za/event/125/contributions/ 1938/ LOCATION:Skukuza 1-1-0 - Ndlopfu Hall URL:https://events.chpc.ac.za/event/125/contributions/1938/ END:VEVENT BEGIN:VEVENT SUMMARY:® South Africa’s Operational Ocean Forecasting Developments DTSTART;VALUE=DATE-TIME:20231206T101500Z DTEND;VALUE=DATE-TIME:20231206T103000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1949@events.chpc.ac.za DESCRIPTION:Speakers: Giles Fearon ()\nAlgoa Bay is situated at the edge o f the Agulhas Current\, where it transitions from being relatively stable\ , to unstable as the continental shelf broadens in the downstream directio n. As one of South Africa’s largest bays it provides a degree of shelter from the southern hemisphere’s most powerful western boundary current a nd is being utilized for offshore ship refueling operations. The environme ntal risks involved\, the highly dynamic offshore boundary and the good ne twork of measurements in the bay have led to it being identified as a pilo t site for the development of an operational forecast system that would su pport stakeholders and decision makers in the case of coastal hazards. To this end\, a step by step approach was followed in order to produce a down scaled forecast system optimized for this region and that can be readily c onfigured for other key locations around the coastline. The first step was to evaluate and intercompare various global models as potential boundary conditions. The next step was to develop high-resolution\, limited duratio n hindcast CROCO/ROMS simulations\, using different ocean boundary forcing s and resolution atmospheric products. Comparisons with temperature record ers and ADCPs at various locations within the bay reveal the differences i n the skill of the different models and that their ensemble mean performs best. The tools for the modelling approach have been ‘dockerized’ for the ease of implementation and interoperability of the system. Using this dockerized workflow\, a second bay-scale operational forecast system has b een implemented for the South West Cape Coast region\, which is home to a lucrative aquaculture industry that are periodically impacted by severe ha rmful algal blooms (HABs). These limited area forecast systems are being i ncorporated into a tool to initialize operational OpenDrift particle track ing simulations with various site-specific applications (e.g. oil spills\, search and rescue and HAB advection). The operational system will be inte grated into the National Oceans and Coastal Information Management Systems (OCIMS) in support of various decision support tools which promote good g overnance of the coastal environment.\n\nhttps://events.chpc.ac.za/event/1 25/contributions/1949/ LOCATION:Skukuza 1-1-2 - Ndau URL:https://events.chpc.ac.za/event/125/contributions/1949/ END:VEVENT BEGIN:VEVENT SUMMARY:Supermicro Vendor Talk (Title to be confirmed) DTSTART;VALUE=DATE-TIME:20231207T094000Z DTEND;VALUE=DATE-TIME:20231207T100000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1966@events.chpc.ac.za DESCRIPTION:Speakers: Roger Crighton ()\nTBC\n\nhttps://events.chpc.ac.za/ event/125/contributions/1966/ LOCATION:Skukuza 1-1-2 - Ndau URL:https://events.chpc.ac.za/event/125/contributions/1966/ END:VEVENT BEGIN:VEVENT SUMMARY:Boost Performance with Accelerated HPC and AI DTSTART;VALUE=DATE-TIME:20231207T092000Z DTEND;VALUE=DATE-TIME:20231207T094000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1965@events.chpc.ac.za DESCRIPTION:Speakers: Claudio Polla (Mr)\nThe NVIDIA Accelerated Compute P latform offers a complete end-to-end stack and suite of optimized products \, infrastructure\, and services to deliver unmatched performance\, effici ency\, ease of adoption\, and responsiveness for scientific workloads. NVI DIA’s full-stack architectural approach ensures scientific applications execute with optimal performance\, fewer servers\, and use less energy\, r esulting in faster insights at dramatically lower costs for high-performan ce computing (HPC) and AI workflows.\n\nhttps://events.chpc.ac.za/event/12 5/contributions/1965/ LOCATION:Skukuza 1-1-2 - Ndau URL:https://events.chpc.ac.za/event/125/contributions/1965/ END:VEVENT BEGIN:VEVENT SUMMARY:Dell - Bringing AI to your Data DTSTART;VALUE=DATE-TIME:20231207T090000Z DTEND;VALUE=DATE-TIME:20231207T092000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1964@events.chpc.ac.za DESCRIPTION:Speakers: Ryan Rautenbach (Dell)\nComprehensive view into Dell ’s AI strategy\, Why Dell for AI\, and our individual products\, solutio ns\, partnerships\, and services for multiple use cases in any location.\n \nhttps://events.chpc.ac.za/event/125/contributions/1964/ LOCATION:Skukuza 1-1-2 - Ndau URL:https://events.chpc.ac.za/event/125/contributions/1964/ END:VEVENT BEGIN:VEVENT SUMMARY:KEYNOTE 7: Bringing AI Everywhere DTSTART;VALUE=DATE-TIME:20231207T150000Z DTEND;VALUE=DATE-TIME:20231207T154500Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1963@events.chpc.ac.za DESCRIPTION:Speakers: Ahmed Al-jeshi (Intel)\nIn this talk\, we will uncov er different approaches to implement\, deliver\, and democratize AI soluti ons. Each approach will fit different use cases. We can use Datacenter CP U\, GPU\, a specialize AI accelrators\, or Edge. This way\, AI developers will have the flexibility and agility to implement the most efficient sol ution. We will also touch base on how AI and HPC are merging together and how we see the future looks like.\n\nhttps://events.chpc.ac.za/event/125/c ontributions/1963/ LOCATION:Skukuza 1-1-0 - Ndlopfu Hall URL:https://events.chpc.ac.za/event/125/contributions/1963/ END:VEVENT BEGIN:VEVENT SUMMARY:CASABIO.org: The Citizen Science Platform for African Observations of Nature DTSTART;VALUE=DATE-TIME:20231205T092000Z DTEND;VALUE=DATE-TIME:20231205T094000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1962@events.chpc.ac.za DESCRIPTION:Speakers: David Gwynne-Evans (CASABIO.org)\nBiodiversity seems to be under threat from a variety of sources. Traditionally urbanisation and agricultural expansion have claimed most of the land. More recently c limate change has held the limelight. But poaching\, particularly of plant s\, is an issue that has become dire within the last few years. Technology has changed the way field-research is undertaken\, providing localities m ore accurately and quickly than ever before. Citizen Science platforms hav e been at the forefront of this push to obtain knowledge of our plants\, b oth what they look like and where they occur. This is critical for making observations available for conservation\, education and research. However\ , they have also provided a gateway for poachers who can readily obtain pr ecise localities of plants. It's critical that a safer method of sharing o bservations is discovered. CASABIO has stepped up to this call by working on their next version of their citizen science platform. Hosted at the CSI R as part of the DIRISA ecosystem\, the new platform is a radical restruct uring of their old system. It introduces several new aspects that make it more efficient and able to handle an increasing diversity of media. We'll be presenting these advantages that aim to provide a new foundation for fu ture Citizen Science.\n\nhttps://events.chpc.ac.za/event/125/contributions /1962/ LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1962/ END:VEVENT BEGIN:VEVENT SUMMARY:DIRISA Service (SSO\,DDT and DMP) DTSTART;VALUE=DATE-TIME:20231207T123000Z DTEND;VALUE=DATE-TIME:20231207T125000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1961@events.chpc.ac.za DESCRIPTION:Speakers: May Maile ()\nDIRISA Services consist of services li ke Data Management Plan (DMP)\, Data Deposit Tool (DDT) and Storage reques t. All these services are accessible through single point of access called Single Sign On (SSO). DMP is a formal document that outlines how a resear cher will handle data before\, during and after the project is completed. Outlines the practices for collecting\, organizing\, backing up\, and stor ing the data that will be generated. Fewer benefits of DMP are more visibl e\, citable on research data\, encourage data sharing and more collaborati on. When done with data planning DDT store data so that research can start collecting data and store the data on DDT. Furthermore\, with DDT user ge t 100GB for free and storage increase based on meeting requirements for st orage increase. Storage request service is where users make requests when they need more storage.\n\nhttps://events.chpc.ac.za/event/125/contributio ns/1961/ LOCATION:Skukuza 1-1-4 - Nari URL:https://events.chpc.ac.za/event/125/contributions/1961/ END:VEVENT BEGIN:VEVENT SUMMARY:IBM Hybrid Quantum-Classical Machine Learning DTSTART;VALUE=DATE-TIME:20231204T070000Z DTEND;VALUE=DATE-TIME:20231204T083000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1960@events.chpc.ac.za DESCRIPTION:Speakers: Thembelihle Dlamini ()\nIn this workshop we explore some of the available quantum algorithms designed for data analysis. Spec ifically\, our focus will be in hybrid quantum machine learning\, a paradi gm integrating classical machine learning models with quantum algorithms. We will also examine techniques for integrating quantum models into pre-e xisting machine learning workflows\, using transfer learning as an example . The hands-on aspect of the workshop will use the Qiskit SDK to implement tutorial examples\, providing practical experience with quantum programmi ng.\n\nAgenda:\nIntroduction to Quantum Computing (45 minutes)\nIntroducti on to Hybrid classical-Quantum machine learning\nOverview of quantum algor ithms for machine learning (45 minutes)\nIntroduce strategies for incorpor ating quantum machine learning algorithms into existing machine learning w orkflows (30 minutes)\n \nHands-On quantum programming (1 hr.)\nIntroducti on to Qiskit (15 mins)\nBuilding and running quantum circuits (15 mins)\nB uilding Classical-Quantum models (30 mins)\n\nThe workshop targets researc hers and students either with a machine learning\, data science or data an alysis background.\n\nhttps://events.chpc.ac.za/event/125/contributions/19 60/ LOCATION:Skukuza 1-1-1 - Ingwe URL:https://events.chpc.ac.za/event/125/contributions/1960/ END:VEVENT BEGIN:VEVENT SUMMARY:KEYNOTE 2: Beyond Exascale – Federation\, Workflows\, and large- scale AI as the next frontier DTSTART;VALUE=DATE-TIME:20231205T075000Z DTEND;VALUE=DATE-TIME:20231205T083000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1959@events.chpc.ac.za DESCRIPTION:Speakers: Utz-Uwe Haus ()\nTBC\n\nhttps://events.chpc.ac.za/ev ent/125/contributions/1959/ LOCATION:Skukuza 1-1-0 - Ndlopfu Hall URL:https://events.chpc.ac.za/event/125/contributions/1959/ END:VEVENT BEGIN:VEVENT SUMMARY:KEYNOTE 1: Resurrecting an Elephant Migration Route DTSTART;VALUE=DATE-TIME:20231205T071000Z DTEND;VALUE=DATE-TIME:20231205T075000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1907@events.chpc.ac.za DESCRIPTION:Speakers: Marc Sherratt ()\, Sean Hensman (Adventures with Ele phants)\nThis research and development project led by Marc Sherratt\, Sust ainability Architects (MSSA) and the Rory Hensman Conservation and Researc h Unit (RHCRU) restores the extinct ability of the African Savanna Elephan t (Loxodonta africana) to migrate across the Limpopo Province of South Afr ica. This approximately 1000 km wildlife migration corridor links existing \, fenced conservation areas that already house over-populated herds of Af rican Elephant. This route uses an elephant’s sophisticated infrasonic c ommunication as a method to “call” the animal along this route. This p roject has been designed to support rural communities by increasing food s ecurity and economic resilience while at the same time reversing global wa rming. South Africa has an overpopulation of the IUCN classified\, Endange red\, African Savanna Elephant (Loxodonta Africana) within its large\, fen ced conservation areas. This leads to unnatural population control includi ng culling (as seen in Kruger National Park) and contraception (as seen in Addo Elephant National Park) of an endangered species. However these area s are usually surrounded by smaller reserves that can accommodate temporar y elephant movement\, if managed correctly. The tested solution presented allows for the return to the large-scale act of seasonal wildlife movement between grazing lands but now along man-made wildlife corridors that util ize smaller parcels of mainly private land. This system allows for mixed-u se land use including cattle farming\, wildlife breeding\, tourism and sta ple crop farming\, allowing only elephants to move but keeping other high value game / livestock secured. The proof of concept has been implemented in the Limpopo province of South Africa and consists of an Artificial Inte lligence (AI) driven\, automatic gate system and an infrasonic elephant co mmunication tower (sounding tower). In combination this system allows wild elephants to transverse between electrified wildlife and farming land wit hout direct human interference using a uniquely developed\, ecologically s ensitive\, infrasonic “language”. This project harnesses the collectiv e intelligence of a diversely skilled professional team\, from musicians t o AI specialists\, from zoologists to engineers. The long term vision for this project would be to connect both private and public land with wildlif e corridors that could allow elephant movement in a fully connected\, prov incially scaled\, adequately protected migration route.\n\nhttps://events. chpc.ac.za/event/125/contributions/1907/ LOCATION:Skukuza 1-1-0 - Ndlopfu Hall URL:https://events.chpc.ac.za/event/125/contributions/1907/ END:VEVENT BEGIN:VEVENT SUMMARY:KEYNOTE 4: Advancements\, developments and challenges facing ZAMRE N DTSTART;VALUE=DATE-TIME:20231206T074500Z DTEND;VALUE=DATE-TIME:20231206T083000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1937@events.chpc.ac.za DESCRIPTION:Speakers: Stein Mkandawire ()\nTBC\n\nhttps://events.chpc.ac.z a/event/125/contributions/1937/ LOCATION:Skukuza 1-1-0 - Ndlopfu Hall URL:https://events.chpc.ac.za/event/125/contributions/1937/ END:VEVENT BEGIN:VEVENT SUMMARY:NGEI’s Initiatives from DSI Regarding the Sovereign Quantum Comp uting Decal Plan DTSTART;VALUE=DATE-TIME:20231205T092000Z DTEND;VALUE=DATE-TIME:20231205T094000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1918@events.chpc.ac.za DESCRIPTION:Speakers: Coral Featherstone (CSIR)\nI will briefly discuss th e history of how scientific focus areas are coordinated through the use of the national development plan\, aligned scientific white papers\, and the decadal plans that are built from the resulting insight. I will also disc uss the current academic landscape of quantum computing in South Africa.\n \nI will discuss the CSIR and how the clusters within the organisation ali gn with the decadal plan. Two units in particular are involved in computin g research and are therefore aligned with quantum computing research\, whi le other units within the CSIR offer unique insights and potential to expl ore the applications of quantum computing. Researchers within the Centre f or High Performance Computing (CHPC)\, and the Nextgen enterprises and ins titutions units within the CSIR are working on making quantum computing re search available and applicable to South Africans. The two units are worki ng with each other\, other suitable clusters within the CSIR\, and quantum -orientated academic institutions\, and industry.\n\nThe quantum computing community in South Africa is too small to work in isolation and working t ogether in a coordinated manner is essential. If we work together we will find applicable uses of quantum computing as applied to local problems tha t are unique to South Africans. There are many examples of uniquely South African problems applicable to quantum computers that would be ignored by international scientists. As just one example\, applying quantum computing to optimisation problems\, such as finding\, predicting\, and treating st rains of HIV that are only found in South Africa.\n\nThe universities are providing additional quantum computing research topics\, and academic grou ps such as the quantum computing working group also contribute white paper s that guide the next round of policy making. Both the universities and th e CSIR provide the DSI with indications on how to apply the focus areas as suggested in the decadal plan.\n\nAligning quantum computing research wit h the focus areas within the decadal plan will help fund and coordinate ca refully pre-identified critical research that helps South Africa with iden tified problems and potential threats.\n\nhttps://events.chpc.ac.za/event/ 125/contributions/1918/ LOCATION:Skukuza 1-1-2+4 - Ndau + Nari URL:https://events.chpc.ac.za/event/125/contributions/1918/ END:VEVENT BEGIN:VEVENT SUMMARY:Enhancing Population Health Research Using SAPRIN HDSS Data Scienc e Platform DTSTART;VALUE=DATE-TIME:20231205T090000Z DTEND;VALUE=DATE-TIME:20231205T092000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1958@events.chpc.ac.za DESCRIPTION:Speakers: Molulaqhooa Maoyi (DSI-MRC South African Population Research Infrastructure Network (SAPRIN)\nThe South African Population Res earch Infrastructure Network (SAPRIN) is a prominent institution within So uth Africa dedicated to enhancing and disseminating high-quality populatio n-based research. SAPRIN’s central goal is to provide insights into the country's demographic\, health\, and social structures and trends\, thereb y aiding evidence-based decision-making. To bolster its research capabilit ies and provide streamlined access to crucial data for researchers\, SAPRI N intends to launch a cutting-edge data science platform. This innovative platform transcends the limitations of traditional data repositories\, int egrating capabilities that empower data users to engage with the shared SA PRIN data interactively\, utilising illustrative workflows and tutorials. A prime example of this is the incorporation of Jupyter Notebooks\, a popu lar tool among data scientists and researchers\, which facilitates the cre ation and dissemination of documents featuring live code\, equations\, vis ualisations\, and explanatory text. the proposed project holds the potenti al to transform the landscape of population health research in South Afric a\, driving it towards a more data-driven\, efficient\, and responsive dom ain.\n\nhttps://events.chpc.ac.za/event/125/contributions/1958/ LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1958/ END:VEVENT BEGIN:VEVENT SUMMARY:BoF: CHPC Users Forum DTSTART;VALUE=DATE-TIME:20231207T113000Z DTEND;VALUE=DATE-TIME:20231207T130000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1957@events.chpc.ac.za DESCRIPTION:Speakers: Werner Janse Van Rensburg (CHPC)\nThe CHPC Users For um Birds-of-a-Feather (BoF) aims to bring all users of CHPC resources toge ther with the following aims:\n\n* Sharing information on the usage of CHP C compute resources over the past 12 months\;\n* Announcing anticipated up dates to infrastructure and services\;\n* Providing an opportunity for use rs to meet and engage with CHPC personnel\;\n* Discuss topics and question s from the user community\;\n* Etc...\n\nAll users are kindly invited and encouraged to attend\, this includes users of the CPU\, GPU and the Cloud resources at the CHPC.\n\nShort overview presentations will be presented\, but the bulk of the time will be focused on informal engagement with the user community.\n\nLooking forward to seeing you at the BoF!\n\nhttps://ev ents.chpc.ac.za/event/125/contributions/1957/ LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1957/ END:VEVENT BEGIN:VEVENT SUMMARY:BoF: Women in High Performance Computing South Africa (WHPC-South Africa) DTSTART;VALUE=DATE-TIME:20231207T133000Z DTEND;VALUE=DATE-TIME:20231207T143000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1956@events.chpc.ac.za DESCRIPTION:Speakers: Khomotso Maenetja (University of Limpopo)\nDescripti on: \nThe WHPC Birds-of-a-Feather (BoF) session for 2023 will be a unique platform for participants to actively establish teamwork\, get to know eac h other better through fun outdoor activities like never before. Participa nts will have a chance to team-up with others in a quest to “change the landscape of HPC” in South Africa. \nAs such\, we are delighted to invit e conference participants (male and females)\, to pick up where we left of the last session held during 2022 annual conference. The initiative's mai n goal was to create a network of Women in HPC in South Africa by bringing them together during the meeting. The workshop was sponsored and attended by both men and women\, and strongly supported by the CHPC management tea m. \n\nAnticipated Goals:\n• Strong professional relationship\n• Impro ve women's underrepresentation in HPC (Contribute in increasing the number of women and girls participation in HPC through training and networking)\ n• Share information and resources that foster growth for women in HPC ( institutionally and across community)\n• Raise our professional profiles \n• Encourage young girls at school level to consider HPC as a career of choice\n\nTarget audience: Women and Men\n\nhttps://events.chpc.ac.za/eve nt/125/contributions/1956/ LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1956/ END:VEVENT BEGIN:VEVENT SUMMARY:Citizen Centric Data Democratisation Framework for Data Custodians in South African Higher Education DTSTART;VALUE=DATE-TIME:20231207T092000Z DTEND;VALUE=DATE-TIME:20231207T094000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1953@events.chpc.ac.za DESCRIPTION:Speakers: Nobert Jere (Walter Sisulu University)\nHigher Educa tion Institutions (HEIs) capture and store a lot of data. This data is for employees and students using different systems. The data access to the us ers is restricted mainly to the departments and units that the employees b elong to. The challenge at hand is that each time when employees would lik e to perform further data analysis\, a specialist or consultant is needed. On the other hand\, HEIs spend a lot of money on getting software licence s and modern Business Intelligence systems. One would expect such software and systems to be fully utilized by employees\, yet HEIs still spend more on consultants. Most consultants are brought for different data analysis and to interpret data. HEIs also spend on training employees on data\, yet many still rely on consultants and data experts to have understanding of data. Therefore\, it is clear that HEIs employees both administrative and academics lack data democratization. \n\nThe study aims to answer the foll owing question:\nHow can Higher Education employees be engaged to develop a Data Democratisation Framework in South Africa? \n\nThe study is based o n systematic review using secondary data available of HEIs in South Africa . Data is gathered on systems used by HEIs and data management related iss ues faced by employees. Results are presented on the data illiteracy among employees and data democratization issues. Based on the findings and thro ugh engaging selected HEIs employees\, key components of a data democratis ation framework are presented. The study shows that participants or data c ustodians would want to be empowered and have more access to the data that they deal with. Employees require skills and training that enables them t o self-manage data and perform data analysis.\n\nKey Words: Data democrati sation\, data literacy\, data access\, High Education Institutions\, Data Custodians\n\nhttps://events.chpc.ac.za/event/125/contributions/1953/ LOCATION:Skukuza 1-1-4 - Nari URL:https://events.chpc.ac.za/event/125/contributions/1953/ END:VEVENT BEGIN:VEVENT SUMMARY:A Roadmap Towards Democratizing Data: A Case for Botswana as a Dev eloping Country DTSTART;VALUE=DATE-TIME:20231207T121000Z DTEND;VALUE=DATE-TIME:20231207T123000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1954@events.chpc.ac.za DESCRIPTION:Speakers: Audrey Masizana (University of Botswana)\nData Democ ratization (DD) has been defined and conceptualized in many ways but all p ointing towards making data more accessible to a wider range of people wit hin an organization or a society (Zeng et al\, 2018)\, (Shamim et al. 2021 )\, (Awasthi et al\, 2020). Data Democratization allows data to transition from the hands of a selected few so that it can be used by all. Due to the changing landscape brought by digitalization\, data has emerged as a resource of prime importance to our daily lives and as such it must be made more accessible to businesses\, employees\, citizens\, and the pub lic sector. Hence modern organizations need to consider new\, digitally re levant measures to adopt policies\, structures\, values\, and assumptions in the context of Data Democratization. \n\nBotswana has made provisions t o address data through the instruments that provide various levels of guid ance regarding the management of data in the country. However\, a perusal of existing legal instruments indicates insufficiency of provisions for m easures related directly to the support of open data due to the relatively low institutional capacities and adoption of open data. A situation analy sis on data management established that Botswana‘s ratings on all the in dicators for Open Data readiness were below acceptable levels\, Open Data Readiness Assessment\, (World Bank Group\, 2015). (The Open Data Inventory \, 2020/2021) further reveals that Botswana had not yet adopted the (The O pen Data Charter (ODC)\, 2015). Another report (Open Data Inventory\, 2022 /2023) ranks the country as 93rd/193 with an overall score of 51%. \n\nThe research will discuss the efforts the country is making in response to th ese findings\, in terms of showcasing potential enabling factors\, opportu nities and challenges towards Data Democratization aligned with a developi ng country.\n\nReferences\n1. World Bank Working Group (2015). v: Prepared for the Government of Botswana\, World Bank Group. \n2. The Open Data In ventory (ODIN). (2020). Botswana country profile. Open Data Watch. https: //odin.opendatawatch.com/Report/countryProfileUpdated/BWA?year=2020\n3. Th e Open Data Charter\, 2015\, https://www.data4sdgs.org/partner/open-data-c harter#:~:text=The%20ODC's%20goal%20is%20to\,%2C%20economic%2C%20and%20env ironmental%20challenges\n4. The Open Data Watch (2022). 2022/23 Open Data Inventory: The ODIN Biennial Report. https://odin.opendatawatch.com/Repor t/biennialReport2022\n5. Zeng\, J.\, and Glaister\, K. W. 2018. “Value C reation from Big Data: Looking inside the Black Box\,” Strategic Organiz ation (16:2)\, SAGE Publications\, pp. 105–140.\n6. Awasthi\, P.\, and G eorge\, J. J. 2020. "A Case for Data Democratization\," in: Americas Confe rence on Information Systems. Virtual: AIS Library\n7. Shamim\, S.\, Yang\ , Y.\, Zia\, N. U.\, and Shah\, M. H. 2021. "Big Data Management Capabilit ies in the Hospitality Sector: Service Innovation and Customer Generated O nline Quality Ratings\," Computers in Human Behavior (121)\, pp. 106-777.\ n\nhttps://events.chpc.ac.za/event/125/contributions/1954/ LOCATION:Skukuza 1-1-4 - Nari URL:https://events.chpc.ac.za/event/125/contributions/1954/ END:VEVENT BEGIN:VEVENT SUMMARY:Questions DTSTART;VALUE=DATE-TIME:20231206T125000Z DTEND;VALUE=DATE-TIME:20231206T130000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1952@events.chpc.ac.za DESCRIPTION:Speakers: Questions ()\nQuestions\n\nhttps://events.chpc.ac.za /event/125/contributions/1952/ LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1952/ END:VEVENT BEGIN:VEVENT SUMMARY:Questions DTSTART;VALUE=DATE-TIME:20231206T102000Z DTEND;VALUE=DATE-TIME:20231206T103000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1950@events.chpc.ac.za DESCRIPTION:Speakers: Questions ()\nQuestions\n\nhttps://events.chpc.ac.za /event/125/contributions/1950/ LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1950/ END:VEVENT BEGIN:VEVENT SUMMARY:Discussion DTSTART;VALUE=DATE-TIME:20231207T125000Z DTEND;VALUE=DATE-TIME:20231207T130000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1948@events.chpc.ac.za DESCRIPTION:Speakers: Discussion ()\nDiscussion\n\nhttps://events.chpc.ac. za/event/125/contributions/1948/ LOCATION:Skukuza 1-1-4 - Nari URL:https://events.chpc.ac.za/event/125/contributions/1948/ END:VEVENT BEGIN:VEVENT SUMMARY:Navigating the Data Labyrinth: Empowering Libraries through Digita l Literacy and Research Data Management DTSTART;VALUE=DATE-TIME:20231207T115000Z DTEND;VALUE=DATE-TIME:20231207T121000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1944@events.chpc.ac.za DESCRIPTION:Speakers: Isak van der Walt (University of Pretoria)\nThe digi tal age has ushered in a labyrinth of data\, where navigating and making\n meaningful insights can be as challenging as it is critical. This presenta tion seeks to address this challenge head-on by focusing on the enhancemen t of digital literacy in the context of research data management (RDM)\, w ithin the framework of library services.\n\nThis presentation will offer a strategic roadmap for libraries to evolve from traditional gatekeepers of knowledge to dynamic enablers of data proficiency. Practical methodologie s for integrating digital literacy into RDM services will be shared\, ensu ring that libraries remain at the forefront of the information age. By fos tering an environment of open access and user-centric data education\, com munities can be equipped with the necessary skills to not only access but also critically analyse and ethically use data.\n\nInsights will be shared on the University of Pretoria’s Digital Transformation journey and its process in evaluating and enhancing digital literacy skills. Anticipating the future\, the talk will also explore innovative ways to engage with and support the diverse needs of our patrons\, making libraries the cornersto ne of a data empowered society. Join in envisioning a world where every in dividual has the literacy to not just consume data but to harness it\, tra nsforming libraries into catalysts for knowledge and growth in the digital era.\n\nhttps://events.chpc.ac.za/event/125/contributions/1944/ LOCATION:Skukuza 1-1-4 - Nari URL:https://events.chpc.ac.za/event/125/contributions/1944/ END:VEVENT BEGIN:VEVENT SUMMARY:Why Universities Must Embrace Digital Transformation DTSTART;VALUE=DATE-TIME:20231207T113000Z DTEND;VALUE=DATE-TIME:20231207T115000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1943@events.chpc.ac.za DESCRIPTION:Speakers: Bhekisipho Twala (Tshwane University of Technology\, Office of the DVC (Digital Transformation))\nHigher education institution s have been under pressure to do more with less. As a result\, many instit utions are laden with traditional IT departments which are either at the p oint of requiring refreshing or no longer fit for practice in the modern u niversity environment. Currently\, the majority of universities have a lar ge number of different applications and systems in use across the organisa tion that students may need to access. As many of the systems need to inte ract with each other\, this presents a significant challenge which digital transformation must embrace. In this talk\, we identify and classify thes e challenges based on a systematic literature review. The findings reveal several barriers that inhibit digital transformation in higher education. These were then organised into six broad categories\, namely environmental \, strategic\, organisational\, technological\, people-related and cultura l. The talk provides a comprehensive understanding of the barriers faced\, facilitating the development of effective strategies and interventions. O ur analysis provides valuable information for higher education institution s\, policymakers and stakeholders involved in digital transformation initi atives.\n\nhttps://events.chpc.ac.za/event/125/contributions/1943/ LOCATION:Skukuza 1-1-4 - Nari URL:https://events.chpc.ac.za/event/125/contributions/1943/ END:VEVENT BEGIN:VEVENT SUMMARY:Questions DTSTART;VALUE=DATE-TIME:20231207T102000Z DTEND;VALUE=DATE-TIME:20231207T103000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1947@events.chpc.ac.za DESCRIPTION:Speakers: Questions ()\nQuestions\n\nhttps://events.chpc.ac.za /event/125/contributions/1947/ LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1947/ END:VEVENT BEGIN:VEVENT SUMMARY:Discussion DTSTART;VALUE=DATE-TIME:20231207T102000Z DTEND;VALUE=DATE-TIME:20231207T103000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1946@events.chpc.ac.za DESCRIPTION:Speakers: Discussion ()\nDiscussion\n\nhttps://events.chpc.ac. za/event/125/contributions/1946/ LOCATION:Skukuza 1-1-4 - Nari URL:https://events.chpc.ac.za/event/125/contributions/1946/ END:VEVENT BEGIN:VEVENT SUMMARY:Meteorological data: then\, now and the future DTSTART;VALUE=DATE-TIME:20231207T100000Z DTEND;VALUE=DATE-TIME:20231207T102000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1942@events.chpc.ac.za DESCRIPTION:Speakers: Dawn Mahlobo (South African Weather Service)\nClimat e data are vital for climate research and applications. In The South Afric an Weather Service being the national custodian of climate data in the cou ntry must ensure quality controlled climate data is available in the natio nal climate database for use by researchers\, students and to safeguard li fe and property. Furthermore\, via Global Telecommunication System\, clima te data is assimilated to the Global Climate Models used global for Climat e Change projections. However\, in recent years\, the SAWS observation net work has been declining\, compromising data availability in the national c limate database. Initiatives to overcome these challenges are underway\, i .e data filing\, modernization and the inclusion of artificial intelligenc e are explored.\n\nhttps://events.chpc.ac.za/event/125/contributions/1942/ LOCATION:Skukuza 1-1-4 - Nari URL:https://events.chpc.ac.za/event/125/contributions/1942/ END:VEVENT BEGIN:VEVENT SUMMARY:South African Risk and Vulnerability Atlas DTSTART;VALUE=DATE-TIME:20231207T094000Z DTEND;VALUE=DATE-TIME:20231207T100000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1940@events.chpc.ac.za DESCRIPTION:Speakers: Keneilwe Hlahane ()\nSouth Africa faces various envi ronmental threats\, among them being the altering nature of extreme events due to climate change. To build the nation's resilience\, comprehensive p olicy development and informed decision-making are imperative. The present ation will focus on the South African Risk and Vulnerability Atlas (SARVA) \, a platform funded by the Department of Science and Innovation (DSI) and hosted by the National Research Foundation - South African Environmental Observation Network (NRF-SAEON). In 2008\, the DSI introduced SARVA as a c entralized repository for climate and environmental data in South Africa. Initially comprising static maps and paper publications\, SARVA has since evolved\, now offering an assortment of interactive\, digital decision sup port tools such as dashboards\, infographics\, and a searchable atlas. Its diverse datasets encompass environmental\, economic\, social\, and settle ments subsets\, all aligned with the 17 Sustainable Development Goals (SDG s). The platform incorporates crucial information on recorded disasters\, sourced from the Emergency Events database (EM-DAT) of the Centre for Rese arch on the Epidemiology of Disasters (CRED)\, the National Climate Change Information System of the Department of Forestry Fisheries and Environmen t\, and the climate risk profiler based on contributions from various sour ces. Leveraging a Geographic Information System (GIS) based platform\, SAR VA empowers users to visualize pertinent data layers\, facilitating inform ed decision-making. Moreover\, SARVA welcomes data contributions from all users\, not solely those affiliated with the NRF-SAEON\, with each dataset being assigned a unique digital object identifier (DOI). Furthermore\, SA RVA is integrated with the Open Data Platform of SAEON is CoreTrustSeal ac credited.\n\nhttps://events.chpc.ac.za/event/125/contributions/1940/ LOCATION:Skukuza 1-1-4 - Nari URL:https://events.chpc.ac.za/event/125/contributions/1940/ END:VEVENT BEGIN:VEVENT SUMMARY:® Enhancing Language Translation and Detection for Low-Resource L anguages through Sequential and Transformer Models DTSTART;VALUE=DATE-TIME:20231207T090000Z DTEND;VALUE=DATE-TIME:20231207T092000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1941@events.chpc.ac.za DESCRIPTION:Speakers: Mahlatse Mbooi (CSIR)\nThe proliferation of digital content has highlighted the disparity in language translation resources\, especially for low-resource languages. This research addresses the critica l gap in translation and detection technologies for such languages\, which is vital for preserving linguistic diversity and ensuring equitable acces s to information. Our objective is to enhance the accuracy and efficiency of language translation and detection using advanced machine learning mode ls.\n\nWe have implemented and compared two different architectures: one s erving as a benchmark and the other\, transformer models\, which boast par allel processing capabilities. These models promise improvements in both t ranslation quality and computational efficiency. Preliminary results indic ate that transformer models show significant promise in handling the nuanc ed structures of low-resource languages.\n\nThe implications of this resea rch are profound\, offering the potential to democratise information acros s linguistic barriers and to protect the cultural heritage embedded in lan guage. This study is a step toward bridging the digital divide and fosteri ng inclusivity in the global information ecosystem.\n\nOur presentation at the CHPC National Conference will delve into the methodologies employed\, provide a comparative analysis of the models\, and discuss the ongoing ev aluation of our results. We aim to contribute to the development of more r obust and accessible language technologies\, particularly for languages th at are at risk of digital extinction\, including many of South Africa's of ficial languages.\n\nhttps://events.chpc.ac.za/event/125/contributions/194 1/ LOCATION:Skukuza 1-1-4 - Nari URL:https://events.chpc.ac.za/event/125/contributions/1941/ END:VEVENT BEGIN:VEVENT SUMMARY:Questions DTSTART;VALUE=DATE-TIME:20231205T125000Z DTEND;VALUE=DATE-TIME:20231205T130000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1936@events.chpc.ac.za DESCRIPTION:Speakers: Questions ()\nQuestions\n\nhttps://events.chpc.ac.za /event/125/contributions/1936/ LOCATION:Skukuza 1-1-2+4 - Ndau + Nari URL:https://events.chpc.ac.za/event/125/contributions/1936/ END:VEVENT BEGIN:VEVENT SUMMARY:Questions DTSTART;VALUE=DATE-TIME:20231205T125000Z DTEND;VALUE=DATE-TIME:20231205T130000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1935@events.chpc.ac.za DESCRIPTION:Speakers: Questions ()\nQuestions\n\nhttps://events.chpc.ac.za /event/125/contributions/1935/ LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1935/ END:VEVENT BEGIN:VEVENT SUMMARY:Questions DTSTART;VALUE=DATE-TIME:20231205T102000Z DTEND;VALUE=DATE-TIME:20231205T103000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1934@events.chpc.ac.za DESCRIPTION:Speakers: Questions ()\nQuestions\n\nhttps://events.chpc.ac.za /event/125/contributions/1934/ LOCATION:Skukuza 1-1-2+4 - Ndau + Nari URL:https://events.chpc.ac.za/event/125/contributions/1934/ END:VEVENT BEGIN:VEVENT SUMMARY:Questions DTSTART;VALUE=DATE-TIME:20231205T102000Z DTEND;VALUE=DATE-TIME:20231205T103000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1933@events.chpc.ac.za DESCRIPTION:Speakers: Questions ()\nQuestions\n\nhttps://events.chpc.ac.za /event/125/contributions/1933/ LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1933/ END:VEVENT BEGIN:VEVENT SUMMARY:TBC DTSTART;VALUE=DATE-TIME:20231205T100000Z DTEND;VALUE=DATE-TIME:20231205T102000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1932@events.chpc.ac.za DESCRIPTION:Speakers: TBC ()\nTBC\n\nhttps://events.chpc.ac.za/event/125/c ontributions/1932/ LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1932/ END:VEVENT BEGIN:VEVENT SUMMARY:TBC DTSTART;VALUE=DATE-TIME:20231205T094000Z DTEND;VALUE=DATE-TIME:20231205T100000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1931@events.chpc.ac.za DESCRIPTION:Speakers: TBC ()\nTBC\n\nhttps://events.chpc.ac.za/event/125/c ontributions/1931/ LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1931/ END:VEVENT BEGIN:VEVENT SUMMARY:® NITheCS: An Overview DTSTART;VALUE=DATE-TIME:20231205T121000Z DTEND;VALUE=DATE-TIME:20231205T123000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1928@events.chpc.ac.za DESCRIPTION:Speakers: Francesco Petruccione (UKZN)\nTBC\n\nhttps://events. chpc.ac.za/event/125/contributions/1928/ LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1928/ END:VEVENT BEGIN:VEVENT SUMMARY:® Computing for the ALICE Experiment at the Large Hadron Collider DTSTART;VALUE=DATE-TIME:20231205T123000Z DTEND;VALUE=DATE-TIME:20231205T125000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1927@events.chpc.ac.za DESCRIPTION:Speakers: Sean Murray (CERN/CHPC\, CSIR)\nThe ALICE experiment at CERN is one of the four big detectors on the LHC. \nALICE's main focus is the Pb on Pb collisions\, which have just been completed at the end of October 2023. We shall describe how computing works. How the data is proc essed for Run 3 coming off the detector\, how it eventually gets analysed\ , and the part that CHPC plays in this computing. We shall also describe t he benefits of the upcoming CHPC membership to the ALICE experiment.\n\nht tps://events.chpc.ac.za/event/125/contributions/1927/ LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1927/ END:VEVENT BEGIN:VEVENT SUMMARY:Questions DTSTART;VALUE=DATE-TIME:20231206T143000Z DTEND;VALUE=DATE-TIME:20231206T145000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1926@events.chpc.ac.za DESCRIPTION:Speakers: Questions ()\nTBC\n\nhttps://events.chpc.ac.za/event /125/contributions/1926/ LOCATION:Skukuza 1-1-2 - Ndau URL:https://events.chpc.ac.za/event/125/contributions/1926/ END:VEVENT BEGIN:VEVENT SUMMARY:A multifaceted framework of understanding and synthesises of the d igital artefacts and its impact on the ICT ecosystem DTSTART;VALUE=DATE-TIME:20231206T141000Z DTEND;VALUE=DATE-TIME:20231206T143000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1925@events.chpc.ac.za DESCRIPTION:Speakers: Ricardo Harry (CSIR)\nTBC\n\nhttps://events.chpc.ac. za/event/125/contributions/1925/ LOCATION:Skukuza 1-1-2 - Ndau URL:https://events.chpc.ac.za/event/125/contributions/1925/ END:VEVENT BEGIN:VEVENT SUMMARY:The influence of national culture dimensions on Agile roles in the South African Software Development Context DTSTART;VALUE=DATE-TIME:20231206T135000Z DTEND;VALUE=DATE-TIME:20231206T141000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1924@events.chpc.ac.za DESCRIPTION:Speakers: Kirwin Matthews (University of Cape Town)\nAbstract — Culture influences how agile frameworks are implemented\, and agility is said to be suitable in contexts where flexibility and spontaneity are e mphasized. While past studies have investigated the influence of national culture on Agile implementations in Western and Eastern contexts\, studies focusing on a South African software development context is limited. Furt hermore\, few studies have focused on the effect of cultural differences w ithin software engineering in general. The purpose of this study is to des cribe how national culture influences Agile roles within the South African software development context. The study was interpretive and was executed using a qualitative\, semi- structured interview research strategy direct ed at Agile practitioners in South African software development teams. The thematic analysis technique was used to analyze the data. Ten proposition s have been formulated to highlight how national culture dimensions influe nce Agile roles.\nIndex Terms— Agile Software Development\, National Cul ture\, Agile Roles\, South Africa.\n\nhttps://events.chpc.ac.za/event/125/ contributions/1924/ LOCATION:Skukuza 1-1-2 - Ndau URL:https://events.chpc.ac.za/event/125/contributions/1924/ END:VEVENT BEGIN:VEVENT SUMMARY:Emerging Leadership Practices in deploying Digital Research Infras tructure in Africa DTSTART;VALUE=DATE-TIME:20231206T133000Z DTEND;VALUE=DATE-TIME:20231206T135000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1923@events.chpc.ac.za DESCRIPTION:Speakers: Mervyn Christoffels (CHPC)\nTo adopt a universal dig ital leadership paradigm for Africa would mean having to ignore previous r esearch that indicates the link between the African cultural context and i ts influence on shaping decisions and behavioural patterns within organisa tions. Similarly\, to ignore the emerging digital leadership paradigm enti rely would deprive Africa of a wide variety of leadership management theor ies and practices that have already been developed and proved effective. I n order to bridge the differences between the two noted positions\, a nove l conceptual framework will be developed in this proposed study. This fram ework will synthesise the best scientific facets of both the emerging digi tal leadership paradigm and the African leadership context with an African -based value system (i.e.\, the framework will use crossvergence. In this way\, the proposed study aims to explore a new digital leadership paradigm that is specifically focused on addressing the unique African digital sce nario.\n\nhttps://events.chpc.ac.za/event/125/contributions/1923/ LOCATION:Skukuza 1-1-2 - Ndau URL:https://events.chpc.ac.za/event/125/contributions/1923/ END:VEVENT BEGIN:VEVENT SUMMARY:From Grassroots to Greatness: Unleashing HPC Potential in Africa DTSTART;VALUE=DATE-TIME:20231205T122000Z DTEND;VALUE=DATE-TIME:20231205T123000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1922@events.chpc.ac.za DESCRIPTION:Speakers: Nilesh Jain (Deep Learning Indaba𝕏)\nThe Deep Lea rning Indaba\, founded in 2017\, serves as a community dedicated to foster ing Artificial Intelligence capabilities and promoting knowledge sharing a cross Africa. As part of this endeavor\, Deep Learning Indaba𝕏 events h ave been established in several participating countries. A Deep Learning I ndaba𝕏 represents a locally-organized "Indaba" or conference aimed at e nsuring the widespread dissemination of knowledge and capacity in machine learning across the African continent. As of 2023\, Indaba𝕏 events have taken place in 36 African countries.\n\nThe Deep Learning Indaba and Inda ba𝕏 have provided an invaluable platform for the emergence and growth o f various research communities with shared interests. Grassroots communiti es like Masakhane\, Ro'ya\, and Sisonke Biotik have cultivated networks of localized expertise in AI applications for language\, computer vision\, a nd healthcare respectively. These organisations prioritise the "community first" principle\, valuing it even above objectives like research publicat ion. As the African proverb wisely suggests\, "If you want to go fast\, go alone\; if you want to go far\, go together." These communities embody th e essence of African AI development\, and their impact stands to be enhanc ed through the utilization of High-Performance Computing (HPC).\n\nThe glo bal AI revolution has spurred the creation of numerous startups. The Deep Learning Indaba platforms have been instrumental in showcasing African AI startups and creating opportunities for talent acquisition and business ne tworking. While African AI-focused companies like InstaDeep have firmly es tablished themselves in the private sector\, the potential for further AI industry development in Africa remains substantial. Lelapa AI serves as an other recent example of a South African AI company that has generated sign ificant attention and anticipation. Support from HPC for startups holds th e potential to facilitate their transition from the early stages of growth and experimentation to achieving sustainable expansion at a faster pace.\ n\nDuring this talk\, we will spotlight success stories\, share published research from these communities\, and delve into the challenges they have encountered. Finally\, we will emphasize how the convergence of grassroots efforts\, small businesses\, strategic partnerships\, and the untapped po tential of HPC can collectively ignite the next wave of African innovation – an innovation "for Africans\, by Africans."\n\nhttps://events.chpc.ac .za/event/125/contributions/1922/ LOCATION:Skukuza 1-1-2+4 - Ndau + Nari URL:https://events.chpc.ac.za/event/125/contributions/1922/ END:VEVENT BEGIN:VEVENT SUMMARY:® Building a Knowledge Democracy: The Deep Learning IndabaX Story DTSTART;VALUE=DATE-TIME:20231205T121000Z DTEND;VALUE=DATE-TIME:20231205T122000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1921@events.chpc.ac.za DESCRIPTION:Speakers: Lydia de Lange (Deep Learning Indaba𝕏 ZA)\nThe De ep Learning Indaba was founded in 2017 as a community for growing Artifici al Intelligence capability and knowledge sharing across Africa. To extend the impact of the community\, "Deep Learning Indaba𝕏" events have been launched in multiple participating nations. A Deep Learning Indaba𝕏\, o r "Indaba𝕏\," represents a locally-organised conference aimed at democr atizing machine learning expertise and capability across the African conti nent. As of 2023\, these Indaba𝕏 events have been conducted in 36 Afric an countries.\n\nThe South African Deep Learning Indaba𝕏 ("Indaba𝕏 Z A") first took place in 2018 and has since united students\, researchers\, and industry practitioners in a collaborative atmosphere. Indaba𝕏 ZA s erves as a platform for attendees to meet and engage with grassroots commu nities and small businesses. Indaba𝕏 ZA is a volunteer-driven event and would not be possible without support from partners including the CHPC\, NiTheCS and the DSI-NRF Centre of Excellence in Mathematical and Statistic al Science (CoE-MaSS). \n\nOne of the highlights of the Indaba𝕏 ZA is t he hackathon\, where concerted efforts have been made over time to encoura ge more active student participation in the event. Complementing this is a dedicated "fundamentals" track spanning 3 days\, with the aim of cultivat ing foundational skills and lowering the barrier to entry for new members of the community. Furthermore\, initial strides have been taken towards in corporating practical\, hands-on training into the programme.\n\nThis talk will provide a review of the Indaba𝕏 ZA journey thus far\, shedding li ght on its impact\, community diversity and emerging trends within the fie ld. Moreover\, we will touch on our shared vision with partners like the C HPC and how we can explore avenues for deeper collaboration. For example\, there is a great opportunity to provide a platform for the CHPC to introd uce participants to compute and training resources. Our mutual goal remain s the upliftment of young minds in the realm of AI research\, paving the w ay for a future generation of skilled and empowered individuals across the country and the continent.\n\nhttps://events.chpc.ac.za/event/125/contrib utions/1921/ LOCATION:Skukuza 1-1-2+4 - Ndau + Nari URL:https://events.chpc.ac.za/event/125/contributions/1921/ END:VEVENT BEGIN:VEVENT SUMMARY:® Distributed Deep Learning in HPC: Challenges and Opportunities DTSTART;VALUE=DATE-TIME:20231205T123000Z DTEND;VALUE=DATE-TIME:20231205T125000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1920@events.chpc.ac.za DESCRIPTION:Speakers: Albert Kahira (Julich Supercomputing Center)\nLarge- scale training of Deep Learning Models (DL) in High Performance Computing( HPC) systems has become increasingly common to achieve faster training tim e for larger models and datasets by alleviating memory constraints. Traini ng DL models in these systems cuts weeks or even months of training to mer e hours and facilitates faster prototyping and research in DL. Importantly \, training some of the larger models is only possible through these large -scale machines. This talk will provide participants with a foundational u nderstanding of the concepts and techniques involved in Deep Learning in H PC as well as challenges and opportunities for research in the area.\n\nht tps://events.chpc.ac.za/event/125/contributions/1920/ LOCATION:Skukuza 1-1-2+4 - Ndau + Nari URL:https://events.chpc.ac.za/event/125/contributions/1920/ END:VEVENT BEGIN:VEVENT SUMMARY:Machine Learning in Cosmology DTSTART;VALUE=DATE-TIME:20231205T113000Z DTEND;VALUE=DATE-TIME:20231205T115000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1919@events.chpc.ac.za DESCRIPTION:Speakers: Yin-Zhe Ma (University of KwaZulu-Natal)\nCosmology\ , the understanding of the evolution of entire Universe\, has progressed v ery fast in the past several decades with the advances of modern telescope s. I will give a brief overview of the modern cosmology of the last centur y and highlight its phenomenal successes and distinctive challenges. I wil l then explain how and why the use of Machine Learning technique can help unravel these mysteries and exploit the uncharted territories of the early Universe. In particular\, I will give several cases of using machine lear ning to constrain primordial non-Gaussian fluctuations in the cosmic micro wave background radiation\, and studying the epoch of reionization.\n\nhtt ps://events.chpc.ac.za/event/125/contributions/1919/ LOCATION:Skukuza 1-1-2+4 - Ndau + Nari URL:https://events.chpc.ac.za/event/125/contributions/1919/ END:VEVENT BEGIN:VEVENT SUMMARY:® Roadmap of Quantum Computing in a South African Context DTSTART;VALUE=DATE-TIME:20231205T090000Z DTEND;VALUE=DATE-TIME:20231205T092000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1917@events.chpc.ac.za DESCRIPTION:Speakers: Francesco Petruccione (UKZN)\nTBC\n\nhttps://events. chpc.ac.za/event/125/contributions/1917/ LOCATION:Skukuza 1-1-2+4 - Ndau + Nari URL:https://events.chpc.ac.za/event/125/contributions/1917/ END:VEVENT BEGIN:VEVENT SUMMARY:Materials research within the Excalibur Project: Is it time to exp loit Quantum Computers? DTSTART;VALUE=DATE-TIME:20231205T100000Z DTEND;VALUE=DATE-TIME:20231205T102000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1916@events.chpc.ac.za DESCRIPTION:Speakers: Scott Woodley (UCL)\nExascale computing is coming an d given the large anticipated power consumption it is prudent to first ens ure both the users and the software are exascale ready before investing in the hardware. The [Excalibur][1] Project is UK's response to this challen ge\, which funds a range of hardware and software projects and train the n ext generation of Research Software Engineers. One of these funded Excalib ur projects is called [QEVEC][2]\, which seeks to determine whether quantu m computers could potentially be employed as accelerators for classical HP C. Part of the QEVEC project has targeted the use of D-wave annealers (qua ntum computers) to tackle problems\, in the field of computational chemist ry and materials science\, that are intractable on classical computers.\n\ nIn this talk\, I will show how the relative energy of defective graphene structures can be calculated by using a quantum annealer. This simple syst em is used to guide the audience through the steps needed to translate a c hemical structure (a set of atoms) and energy model to a representation th at can be implemented on quantum annealers (a set of qubits). I discuss in detail how different energy contributions can be included in the model an d what their effect is on the final result. The code used to run the simul ation on D-Wave quantum annealers is made available as a Jupyter Notebook - more details can be found in our recent [publication][3]. The first part of this talk is designed to be a quick-start guide for the computational chemists interested in running their first quantum annealing simulations. The methodology outlined in this talk represents the foundation for simula ting more complex systems\, such as solid solutions and disordered systems \, which I will go on to discuss and show latest results for three differe nt solid solutions\, to demonstrate the versatility of our developed metho d. Each system has interesting technological applications: N-doped graphen e in catalysis and energy materials\, Al$_{\\delta}$Ga$_{1-\\delta}$N in o ptoelectronics and Mo$_\\delta$W$_{1-\\delta}$ used as structural componen ts in nuclear and rocket systems because of their high high-temperature st rength\, high melting point\, and good corrosion resistance. Time permitti ng\, I will also present an overview of the Excalibur [PAX-HPC][4] project . \n\n\n [1]: https://excalibur.ac.uk/\n [2]: https://excalibur.ac.uk/pr ojects/qevec/\n [3]: http://doi.org/10.1063/5.0151346\n [4]: https://exc alibur.ac.uk/projects/pax-hpc-particles-at-exascale/\n\nhttps://events.chp c.ac.za/event/125/contributions/1916/ LOCATION:Skukuza 1-1-2+4 - Ndau + Nari URL:https://events.chpc.ac.za/event/125/contributions/1916/ END:VEVENT BEGIN:VEVENT SUMMARY:Leveraging Quantum Machine Learning for Enhanced Biophotonics Appl ications DTSTART;VALUE=DATE-TIME:20231205T094000Z DTEND;VALUE=DATE-TIME:20231205T100000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1915@events.chpc.ac.za DESCRIPTION:Speakers: Kelvin Mpofu (CSIR)\nRecent advancements in the inte rdisciplinary realms of machine learning (ML) and quantum computing (QC) h ave paved the way for innovative approaches in biophotonics\, an establish ed field that utilizes light-based technologies to probe biological substa nces. Quantum machine learning (QML)\, an emerging frontier\, amalgamates quantum computing's superior processing capabilities with machine learning 's predictive power\, offering unprecedented opportunities in biophotonics applications ranging from medical diagnostics to cellular microscopy. Thi s talk explores the symbiotic integration of ML\, QC\, and QML within the context of biophotonics. We begin by providing a foundational overview of machine learning algorithms\, emphasizing their application in image and s ignal processing tasks common in biophotonics\, such as feature extraction from complex biological datasets and pattern recognition in biomolecular structures. We then delve into the quantum computing paradigm\, elucidatin g how its intrinsic properties — such as superposition and entanglement — can dramatically accelerate computational tasks pertinent to biophoton ics. The crux of our discussion centers on quantum machine learning\, wher e we dissect how QML algorithms harness quantum states to perform data enc oding\, processing\, and learning at a scale and speed beyond the reach of classical computers. We present a critical analysis of the current state of QML\, highlighting how its implementation could revolutionize biophoton ics by enabling the analysis of voluminous and high-dimensional datasets m ore efficiently\, thereby facilitating real-time monitoring and decision-m aking in clinical settings. To illustrate the practical implications of QM L in biophotonics\, we showcase cutting-edge applications\, such as the qu antum-enhanced detection of biophotonic signals\, the optimization of biop hotonic setups\, and the quantum-assisted imaging systems that provide sup er-resolved images. The challenges of integrating QML in biophotonics are also discussed\, including the current technological limitations of quantu m hardware and the need for specialized quantum algorithms tailored to bio photonic data. We conclude by forecasting the future directions of QML in biophotonics\, contemplating the potential breakthroughs and transformativ e impacts on healthcare\, biological research\, and beyond. Our synthesis not only underscores the transformative potential of QML in biophotonics b ut also calls for a concerted effort to overcome existing barriers\, thus charting a course towards a quantum-enhanced era in biological science and medicine.\n\nhttps://events.chpc.ac.za/event/125/contributions/1915/ LOCATION:Skukuza 1-1-2+4 - Ndau + Nari URL:https://events.chpc.ac.za/event/125/contributions/1915/ END:VEVENT BEGIN:VEVENT SUMMARY:KEYNOTE 3: The Software-Defined Supercomputer DTSTART;VALUE=DATE-TIME:20231206T070000Z DTEND;VALUE=DATE-TIME:20231206T074500Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1909@events.chpc.ac.za DESCRIPTION:Speakers: Stig Telfer (StackHPC Ltd)\nTwo long-held aspiration s\, "agile supercomputing" and "performant cloud”\, are converging. Sup ercomputing performance can now be achieved in a cloud-native context. Cl oud flexibility ensures different classes of workload may be targeted at t he most effective resources. Innovation in Artificial Intelligence (AI) f urther drives the pressure for change.\n\nOpen source solutions provide a cost-effective path to achieving the software-defined supercomputer. This presentation will present the latest work on using open infrastructure to implement a high-performance AI-centric cloud.\n\nThe presentation will i ntroduce the core components of a software-defined supercomputer\, and pro vide technical insights into their operation. Real-world experience will be used to describe the challenges and how they are overcome.\n\nhttps://e vents.chpc.ac.za/event/125/contributions/1909/ LOCATION:Skukuza 1-1-0 - Ndlopfu Hall URL:https://events.chpc.ac.za/event/125/contributions/1909/ END:VEVENT BEGIN:VEVENT SUMMARY:KEYNOTE 6: Scientific Data Democratization: Enabling Efficient Acc ess and Analysis of Large-Scale Scientific Data DTSTART;VALUE=DATE-TIME:20231207T074500Z DTEND;VALUE=DATE-TIME:20231207T083000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1908@events.chpc.ac.za DESCRIPTION:Speakers: Scott Klasky (University of Tennessee at Knoxville\, Georgia Institute of Technology\, Oak Ridge National Laboratory)\nThe vas t amounts of data generated by scientific research hold immense potential for advancing knowledge and discovery. However\, the complexity and sheer volume of this data often pose significant challenges in terms of accessib ility\, analysis\, and interpretation. Scientific data democratization aim s to address these challenges by enabling researchers to easily access\, a nalyze\, and share scientific data\, regardless of their technical experti se or the location of the data. My group along with our close collaborato rs have worked with hundreds of scientific communities in the past 20 year s\, in many disciplines ranging from astronomy\, fusion\, combustion\, sei smology\, weather\, climate\, accelerator science\, material science to cl inical pathology. In our partnerships we have created sustainable software components which help address the following needs 1) Creating a self-desc ribing I/O framework which allows data to be read/written at terabytes/sec \, 2) Having the ability to query PBs of data efficiently even for derived quantities which are NOT contained in the data\, 3) Having the ability to subscribe to data (in memory) without modifying the codes such that I/O i s abstracting from data-at-rest to data-in-motion\, 4) Creating new mathem atical formulations which allows data to be reduced in both the size and i n the degrees of freedom to allow for faster access\, and 5) having the ab ility to work with federated data\, as if it was local. In this presentati on\, we will explore the challenges and opportunities associated with scie ntific data democratization\, along with some of the work we have done in these fields.\n\nhttps://events.chpc.ac.za/event/125/contributions/1908/ LOCATION:Skukuza 1-1-0 - Ndlopfu Hall URL:https://events.chpc.ac.za/event/125/contributions/1908/ END:VEVENT BEGIN:VEVENT SUMMARY:® Earth system model prototype for seamless forecast construction : Evaluation/validation from weather to monthly time scales and tailored s ervices development for sectors of development. DTSTART;VALUE=DATE-TIME:20231207T100000Z DTEND;VALUE=DATE-TIME:20231207T102000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1898@events.chpc.ac.za DESCRIPTION:Speakers: Mohau Mateyisi (Council for Scientific and Industria l Research)\nProjection of Droughts in Africa within different extents of global warming as performed on The CHPC’s Lengau Cluster\n\nAfrican tem peratures are projected to rise rapidly under low mitigation climate chang e futures\, at 1.5 to 2 times the global rate of temperature increase. Thi s high regional climate sensitivity in combination with the relatively low adaptive capacity implies that the global climate change mitigation effor t is of crucial importance to Africa. Against this background the Standard Precipitation Index (SPI) with 36-month accumulation time (relevant to ag ricultural and hydrological drought) was considerd for six regional downsc alings over Africa under a low mitigation scenario (RCP8.5) and for 1.5\, 2 and 3 °C of global warming. The associated projected changes in maximum temperatures and very hot days were also considered. .Using the Coordinat ed Regional Downscaling Experiment-Africa (CORDEX) regional climate models \, we downscale six global climate models of the Coupled Model Inter-compa rison Project Phase 5 (CMIP5) to high resolution with the aid of computing power from the south African (CHPC) Centre for High Performance Computing ’s Lengau Cluster.The analysis reveals that the southern African is alre ady experiencing increased conditions of dryness and is likely heading tow ards a regional climate system that may well be associated with more frequ ently occurring droughts. Under 3 °C these increased conditions of drough t are projected to occur within the presence of a drastic increase in maxi mum temperature and very hot days. Such a change\, of a hot and drier clim ate system becoming even hotter and drier would offer very few options for climate change adaptation. It is likely that under 2 °C of global warmin g this general pattern of increased dryness will already be manifested ove r southern Africa\, but this regional world is not projected to be signifi cantly drier at 1.5 °C of warming compared to its present-day climate (in dicating a benefit for southern Africa for the 1.5 °C global goal being a chieved). For East Africa\, increased wetness and potentially more floods are projected under 3 °C of warming\, a pattern that may well be manifest ed (although with reduced amplitude) under 2 °C and 1.5 °C of warming. A ssociated increases in wetness are also projected across the Sahel\, which under 1.5 °C may be a benefit\, given that the detrimental effects of ri sing temperatures will be reduced.\n\nhttps://events.chpc.ac.za/event/125/ contributions/1898/ LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1898/ END:VEVENT BEGIN:VEVENT SUMMARY:Complexity vs. Clarity: Modelling Effects of Lancing into Process Material Through Furnace Tap-Holes DTSTART;VALUE=DATE-TIME:20231207T094000Z DTEND;VALUE=DATE-TIME:20231207T100000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1900@events.chpc.ac.za DESCRIPTION:Speakers: Markus Erwee ()\nPyrometallurgical furnaces are inte gral for extracting valuable metals from ores\, operating at temperatures exceeding 1600◦C. These furnaces represent complex multiphase systems\, posing significant challenges for direct industrial-scale study.\n\nMultip hysics models provide critical insights into these complex behaviors\, ass isting furnace designers and operators in making informed decisions regard ing design and operation. \n\nIn most furnaces\, materials are charged\, s melted\, and accumulated\, followed by a tapping process. The furnace feat ures a ’tap-hole’\, a channel through the steel and brickwork\, used f or periodically opening and closing. The opening process involves lancing to remove refractory clay\, akin to using a cutting torch. High temperatur es are achieved by oxygen reacting with the steel lance. Once the lance pe netrates the clay\, unburned oxygen gas can enter the furnace\, potentiall y impacting the molten material inside. \n\nA multiphase fluid flow model was employed to study bulk flow inside the furnace\, assessing the signifi cance of lancing. Given the high-temperature processes and the compressibi lity of oxygen gas compared to other process materials (metal and slag)\, an evaluation of compressibility effects on the study’s outcome is essen tial.\n\nUsing the compressible solver\, which requires solving the energy equation\, introduces the need for additional material properties as a fu nction of temperature\, leading to potential uncertainties. In this study\ , two solvers\, multiphaseInterFoam and compressibleMultiphaseInterFoam fr om OpenFOAM v2212\, were tested on a large-scale process. Typical meshes o f around 3.2 million elements were used\, necessitating high-performance c omputing hardware. \n\nThis paper presents a comparative analysis of the r esults and performance of the two solvers under various conditions.\n\nhtt ps://events.chpc.ac.za/event/125/contributions/1900/ LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1900/ END:VEVENT BEGIN:VEVENT SUMMARY:Application of High-Performance Computing in Nanomedicine: Lipid b ased nanocarriers and biogenic nanoparticles DTSTART;VALUE=DATE-TIME:20231207T092000Z DTEND;VALUE=DATE-TIME:20231207T094000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1894@events.chpc.ac.za DESCRIPTION:Speakers: Mpho Ngoepe (Nelson Mandela University)\nHigh-perfor mance computing (HPC) is an increasingly influential field with the potent ial to transform various industries\, with nanomedicine being one of the k ey beneficiaries. Nanomedicine is the integration of nanotechnology into m edical practices\, encompassing the diagnosis\, treatment\, and prevention of diseases. Among the various nanoparticles used in this field\, lipid-b ased nanocarriers stand out as versatile tools. Comprised of lipids\, the fundamental components of cell membranes\, lipid-based nanocarriers are em ployed to transport drugs\, genes\, and therapeutic agents to target cells and tissues within the human body. HPC plays a pivotal role in advancing this field by aiding in the development of novel lipid-based nanocarriers and optimizing their drug delivery mechanisms. Biogenic nanoparticles\, wh ich are naturally produced by living organisms ranging from microbes to an imals\, have immense potential within nanomedicine. Their applications spa n drug delivery\, imaging\, and tissue engineering. To delve deeper into t he behaviour of lipid membranes and their interactions with nanocarriers a nd biogenic nanoparticles\, computational tools such as coarse-grained mol ecular dynamics (CGMD) are indispensable. CGMD simulations model groups of atoms as single beads\, enabling the analysis of large biological systems \, which would be impractical with traditional all-atom molecular dynamics (MD) simulations. To facilitate these simulations\, the CHARMM-GUI platfo rm provides a user-friendly interface for setting up and executing MD simu lations using the CHARMM force field. Specifically\, CHARMM-GUI Martini Ma ker allows researchers to configure a variety of lipid membrane systems\, including planar bilayers\, micelles\, and vesicles. By harnessing HPC res ources for the design of new lipid-based nanocarriers and biogenic nanopar ticles\, optimizing therapeutic agent delivery\, and investigating the int eraction between these nanomaterials and biological entities\, the potenti al for breakthroughs in nanomedicine is vast. This synergy of HPC and nano medicine holds promise for enhancing healthcare solutions and revolutioniz ing disease treatment and prevention strategies.\n\nhttps://events.chpc.ac .za/event/125/contributions/1894/ LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1894/ END:VEVENT BEGIN:VEVENT SUMMARY:Computational fluid dynamics (CFD) in congenital heart disease and thrombosis: The role of high performance computing (HPC) DTSTART;VALUE=DATE-TIME:20231207T090000Z DTEND;VALUE=DATE-TIME:20231207T092000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1892@events.chpc.ac.za DESCRIPTION:Speakers: Malebogo Ngoepe ()\nComputational fluid dynamics (CF D) has proven to be a powerful tool for elucidating flow features in a ran ge of disease cases. The technique can be used in combination with other a pproaches to capture key features of a specific disease. In this talk\, we consider two disease cases that have benefitted from high performance com puting (HPC). The first case\, Coarctation of the Aorta (CoA)\, is a conge nital heart defect which is present at birth and alters the distribution o f blood in the body. The effects of the disease tend to be present in chil dhood and beyond\, and medical intervention aims to manage the condition t hroughout the lifetime of the patient. Haemodynamic simulations\, based on CFD\, can give insight into how different treatment interventions are lik ely to impact local fluid dynamics. In order to compute these flow solutio ns\, patient specific boundary conditions can be obtained using echocardio graphy and where datasets are incomplete\, augmented with machine learning approaches. The outputs from the CFD model can be used as inputs for an a gent-based model (ABM)\, which shows great potential for capturing growth. The second case\, thrombosis\, or blood clotting is a condition which is present in a number of diseases. CFD is coupled to biochemistry to capture local haemodynamics and chemical reactions. The growing clot is captured as a porous medium which affects blood flow and the transport of chemical species. In some instances\, devices used for treatment can also be modell ed in the flow domain. For both disease cases\, the modelling processes de scribed take place over different timescales and require careful considera tion of computing resources.\n\nhttps://events.chpc.ac.za/event/125/contri butions/1892/ LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1892/ END:VEVENT BEGIN:VEVENT SUMMARY:Accelerating South Africa’s indigenous knowledge systems for ant iviral drug discovery using computational modelling DTSTART;VALUE=DATE-TIME:20231206T141000Z DTEND;VALUE=DATE-TIME:20231206T143000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1906@events.chpc.ac.za DESCRIPTION:Speakers: Tovhowani Ramulongo (CSIR)\nDescription: This is the review article on using computational modelling to accelerate the drug de velopment process for viral infections based on African indigenous medicin al plant species.\n\n\nBackground: Natural products or related drugs such as botanicals or herbal medicines make up approximately 35% of the annual global market\, followed by 25% from plants\, 13% from microorganisms and 3% from animal sources. The use of indigenous medicinal plant species used on traditional medicines has been used for centuries to treat viral infec tions. The constant growth of the human population and human interaction w ith the environment have led to several emerging and re-emerging RNA virus es responsible for diseases and pandemics. Considering the continuous spre ad of major viral pathogens as well as unpredictable viral outbreaks of em erging or reemerging viral strains\, it is essential to ensure preparednes s interventions to treat and manage yet another global health crisis.\n\nA im: The review article explores the potential application of computational modelling in identifying antiviral drugs informed by indigenous knowledge systems for future pandemic preparedness by the pharmaceutical industry.\ n \nMethodology: The South Africa’ National Recordal System\, which has been developed under the IKS Policy (2007)\, was used to identify the indi genous medicinal plant species used to treat respiratory diseases. The pla nts species\, Bulbine frutescens\, Cyclopia genistoides\, Harpagophytum pr ocumbens\, Kigelia Africana\, Siphonochilus aethopicus\, Sutherlandia frut escens\, Trichilia emetic\, Warburgia salutaris\, Xysmalobium undulatum Li ppia javanica were identified. A systemic review of these plant species wa s conducted using past literature papers.\n\nResults: From the literature\ , most of these plants have been shown to exhibit a wide range of chemical compounds with potential health benefits as shown in in vitro and in vivo studies for inhibition of the Human Immunodeficiency virus (HIV). The use of the computational modelling in small molecule drug discovery will prof iciently accelerate the drug development process thereby impacting on the pharmaceutical industry while ensuring benefit sharing arrangements are re leased with the communities in terms of the Nagoya Protocol on Access and benefit sharing.\n\nhttps://events.chpc.ac.za/event/125/contributions/1906 / LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1906/ END:VEVENT BEGIN:VEVENT SUMMARY:Dynamic downscaling of CMIP6 model outputs: usage of the Lengau Cl uster by the Agrometeorology division of Agricultural Research Council DTSTART;VALUE=DATE-TIME:20231206T133000Z DTEND;VALUE=DATE-TIME:20231206T135000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1893@events.chpc.ac.za DESCRIPTION:Speakers: Sarah Roffe (Argometeorology Division\, Agricultural Research Council – Natural Resources and Engineering\, Pretoria\, South Africa)\nThe Agrometeorology division of the Agricultural Research Counci l represents a research group focused on weather and climate in relation t o agricultural activities. One aspect of the group’s activities is to in vestigate how climate change could impact agricultural activities\, focusi ng on smallholder to large-scale commercial farming activities. To underst and the future effects of climate change for consideration in agricultural decision-making\, Global Climate Models (GCM) can provide us with climate change projections\, which represent potential future climate scenarios. However\, GCMs have very coarse spatial resolutions (around 100 x 100 km o r more)\, which are not appropriate to apply for decision-making in agricu lture. Therefore\, to guide agricultural decision-making across South Afri ca\, the Agrometeorology division has begun dynamically downscaling GCM ou tputs from selected models contributing to the sixth phase of the Coupled Model Intercomparison Project (CMIP6). For this task\, we are utilising th e Weather Research and Forecasting (WRF) model to downscale GCM outputs to an 8 x 8 km spatial resolution for a range of future scenarios (i.e.\, SS P1-2.6\, SSP2-4.5\, and SSP5-8.5). To undertake this massive computing tas k\, the division relies very heavily on the computing resources offered by the Centre for High Performance Computing (CHPC) Lengau Cluster\; without these resources\, this dynamic downscaling task would not be possible. Th us\, in presenting this work\, I will highlight just how significant and v aluable the CHPC resources are for our work\, and I will share on our prog ress (with some results)\, challenges\, and successes to date.\n\nhttps:// events.chpc.ac.za/event/125/contributions/1893/ LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1893/ END:VEVENT BEGIN:VEVENT SUMMARY:Research Software Engineering (RSE) groups in the UK and their rel ationship to HPC facilities DTSTART;VALUE=DATE-TIME:20231206T123000Z DTEND;VALUE=DATE-TIME:20231206T125000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1901@events.chpc.ac.za DESCRIPTION:Speakers: Kim Martin (Stellenbosch University)\nResearch Softw are Engineers (RSEs) support researchers in generating efficient\, correct and reproducible research\, and in promoting the development of sustainab le (and re-usable) software for research. This talk will introduce the con cept of Research Software Engineering (RSE) Groups as an emergent outcome of the decade-long history of the RSE movement that originated in the UK\; highlighting how such teams of RSEs are able to support researchers in th eir host institutions\, including in promoting the use of in-house HPC fac ilities. It will also discuss the findings of the 'RSE Roadtrip' - an ambi tious study of examples of RSE Groups at multiple UK universities. The aim of the 'RSE Roadtrip' is in understanding how RSE Group diversity (in ter ms of organisational context and other structural and functional features) affects member RSEs and group effectiveness\, and in suggesting best prac tices for the formation and sustainability of RSE Groups (including inspir ation for new approaches within the South African context).\n\nhttps://eve nts.chpc.ac.za/event/125/contributions/1901/ LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1901/ END:VEVENT BEGIN:VEVENT SUMMARY:Building HPC modelling ecosystems for furnace tapping problems DTSTART;VALUE=DATE-TIME:20231206T121000Z DTEND;VALUE=DATE-TIME:20231206T123000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1896@events.chpc.ac.za DESCRIPTION:Speakers: Quinn Reynolds (Mintek)\nOur modern industrialised s ocieties are critically dependent on a variety of metals from iron and ste el through to technology materials like silicon\, copper\, and aluminium. The vast majority of these commodities are sourced from metallurgical smel ting furnaces of various designs\, in which primary or secondary raw mater ials are converted into the molten state at very high temperatures in orde r to perform the physical and chemical separation processes necessary for the product of value.\n\nMost smelting furnaces operate in a semi-batch mo de\, in which raw materials are fed to the furnace continuously but the pr ocess products and wastes are removed only at discrete intervals. This rem oval of the molten materials from the furnace is done using a procedure ca lled tapping – a channel (the tap-hole) is opened in a specialised part of the furnace wall\, and the liquid contents are allowed to drain out und er the action of gravity and any additional pressure in the vessel. Once s ufficient material is drained\, the tap-hole is resealed and the process c ontinues. During tapping\, human operators and equipment are exposed to mo lten alloy and slag materials at temperatures in excess of 1500°C. This h arsh environment makes any variability or unpredictability in the tapping process potentially hazardous\, and at the same time greatly limits the ap plicability of standard measurement and control instruments. There is ther efore considerable value in using computational\, numerical\, and data-dri ven modelling tools to provide in silico insight with regard to the design and operation of furnace tapping systems.\n\nThis presentation will docum ent Mintek’s work over the past few years in developing a diverse softwa re ecosystem for the study of furnace tapping problems\, ranging from high -fidelity computational fluid mechanics models through to reduced-order mo delling and data-driven machine learning approaches. The common thread of high performance computing as an enabling technology weaves through this s tory\, and is seen to add value in a number of expected and unexpected way s.\n\nhttps://events.chpc.ac.za/event/125/contributions/1896/ LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1896/ END:VEVENT BEGIN:VEVENT SUMMARY:Effective use of high performance computing resources in computati onal chemistry and materials science DTSTART;VALUE=DATE-TIME:20231206T115000Z DTEND;VALUE=DATE-TIME:20231206T121000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1891@events.chpc.ac.za DESCRIPTION:Speakers: Krishna Govender (CHPC)\nEffective use of high perfo rmance computing resources in computational chemistry and materials scienc e\n \nKrishna K Govender1\,2*\n\n1Computational Chemistry and Molecul ar Modelling Group\, Department of Chemical Sciences\, University of Johan nesburg\, PO Box 17011\, Doornfontein\, 2028\, Johannesburg\, South Africa \n2National Institute for Theoretical and Computational Sciences (NITheCS) \, South Africa\n\n*Corresponding author email: krishnag@uj.ac.za\n\nABSTR ACT\nWhen we say “Eskom” the first thing that comes to mind is loadshe dding. It was suspended for a while\, but before we knew it the constant p ower cuts were back\, and this results in the loss of access to various no des on the Lengau cluster. In addition\, several nodes on the cluster are down due to their age. These factors together with the misuse of the resou rces by inexperienced users has resulted in individuals having to queue fo r elongated periods of time. \nIn this work focus will be placed on resear ch conducted within the Computational Chemistry and Molecular Modelling (C CMM) Group at the University of Johannesburg and how to determine if simul ations run with different software packages are making appropriate use of the resources being requested. \nAn upgrade of the current Centre for High Performance Computing (CHPC) cluster is eminent\, but with more resources comes more misuse and it is hoped that this work will help shed light to HPC users and ensure that everyone makes use of the resources being provid ed fairly and responsibly.\n\nKeywords: CCMM\, HPC\n\nhttps://events.chpc. ac.za/event/125/contributions/1891/ LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1891/ END:VEVENT BEGIN:VEVENT SUMMARY:A theoretical investigation of decorated novel triazoles as organi c dyes in dye sensitized solar cells DTSTART;VALUE=DATE-TIME:20231206T100000Z DTEND;VALUE=DATE-TIME:20231206T102000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1905@events.chpc.ac.za DESCRIPTION:Speakers: Louis-Charl Coetzee (University of South Africa)\nTh is research presents DFT and TD-DFT calculations for eight 1\,2\,4-triazol e compounds (A1-A8) that were theoretically evaluated as organic dyes in d ye sensitized solar cells (DSSCs). The parameters used in this evaluation included\, oscillator strengths\, electron diffusion constants\, electron injection efficiencies\, electron collection efficiencies\, highest occupi ed molecular orbitals (HOMO)\, lowest unoccupied molecular orbitals (LUMO) \, amongst others. These parameters play a significant role in determining the efficiency of the dye as rapidly diffusing electrons will be more rea dily available for electron injection into the conduction band of the semi -conductor where they can participate in the current flow and be regenerat ed back into the dye via an electrolyte provided that the HOMO of this ele ctrolyte lies at a higher energy level than the HOMO of the dye. Moreover\ , the LUMO of the dye should also lie at a higher energy level than the LU MO of the conduction band of the semi-conductor. More rapid diffusion can be facilitated by conjugated systems that consists of donor\, linker (π-s pacer) and acceptor fragments where electrons are localized across the don or and being delocalized towards the acceptor via the linker. In this stud y\, starburst and alkoxy phenyl groups acted as the donors\, while the 1\, 2\,4-triazole groups acted as the linker\, and cyano acrylic acid acted as the acceptor group. Since the acceptor group must adhere to the semi-cond uctor for efficient electron injection\, it is important that as much elec trons as possible reaches this group. From this study\, it was discovered that A2 was the most efficient organic dye.\n\nhttps://events.chpc.ac.za/e vent/125/contributions/1905/ LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1905/ END:VEVENT BEGIN:VEVENT SUMMARY:Variable resolution numerical weather modelling on the CHPC DTSTART;VALUE=DATE-TIME:20231206T094000Z DTEND;VALUE=DATE-TIME:20231206T100000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1897@events.chpc.ac.za DESCRIPTION:Speakers: Patience Tlangelani Mulovhedzi (South African Weathe r Service)\nThe South African Weather Service (SAWS) has employed the comp uting resources of the Centre for High Performance Computing (CHPC) for se veral research projects. The current project is primarily focused on model development\, utilizing the Conformal Cubic Atmospheric Model (CCAM) prov ided by the Commonwealth Scientific and Industrial Research Organisation ( CSIRO). The model was successfully installed on the CHPC cluster\, and a s eries of experimental simulations were conducted at various grid resolutio ns. The primary objective was to gain insights into the model's scale-awar eness and identify areas where improvements could enhance its ability to s imulate high-impact weather events. The chosen grid resolutions included 2 5 km\, 10 km\, 6 km\, 3 km\, and 1 km. For each case study\,the model simu lations were run around the area of observed high-impact weather. As a res ult\, the high-resolution simulations spanned a relatively small geographi cal area. This paper details the procedures employed to execute these dive rse CCAM simulations\, the computational resources utilized\, and the mode l's performance.\n\nhttps://events.chpc.ac.za/event/125/contributions/1897 / LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1897/ END:VEVENT BEGIN:VEVENT SUMMARY:Engineering Strategies for Perovskites: From DFT to Machine Learni ng DTSTART;VALUE=DATE-TIME:20231206T092000Z DTEND;VALUE=DATE-TIME:20231206T094000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1895@events.chpc.ac.za DESCRIPTION:Speakers: Regina Maphanga (CSIR)\nThe depletion of fossil fuel s and rapid growth in world population are the main drivers of research in terests to find alternative renewable energy sources that could alleviate the global energy crisis. Hence\, perovskite solar cells have been largely explored as a prospective source of clean and renewable energy. They have shown remarkable progress with rapid increases in power conversion effici ency\, from early reports of approximately 3% in 2009 to over 25% today. D espite their excellent optoelectronic characteristics such as tuneable ban d gap\, high absorption coefficients\, high carrier mobility\, and long di ffusion lengths for electrons and holes\, small effective masses and facil e fabrication\; they still have a number of drawbacks that hinder their pr actical application and commercialisation. Perovskite solar cell devices m ust retain high efficiencies while exhibiting decent stability and accepta ble degradation for practical applications. Herein\, using first-principle approach we explore different engineering strategies for various perovski tes materials\, namely\, all-inorganic halide perovskites\, organic-inorga nic perovskites and double perovskites crystal structures and their respec tive optoelectronic characteristics. In addition\, data-driven machine lea rning approach is used to conduct compositional space exploration to disco ver new perovskite materials.\n\nhttps://events.chpc.ac.za/event/125/contr ibutions/1895/ LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1895/ END:VEVENT BEGIN:VEVENT SUMMARY:The Rooibos Genome Program: computational requirements DTSTART;VALUE=DATE-TIME:20231206T090000Z DTEND;VALUE=DATE-TIME:20231206T092000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1890@events.chpc.ac.za DESCRIPTION:Speakers: Uljana Hesse (University of the Western Cape)\nWhile plant genome analysis is gaining speed worldwide\, few plant genomes have been sequenced and analyzed on the African continent. Yet\, this informat ion holds the potential to transform diverse industries: it unlocks medici nally and industrially relevant biosynthesis pathways for bioprospecting a nd can boost innovation of plant breeding and plant protection strategies. Considering that South Africa is home to the highly diverse Cape Floristi c Region\, local establishment of methods for plant genome analysis is ess ential. The Medicinal Plant Genomics Program was initiated at UWC in 2016 with the sequencing of the diverse transcriptomes and the genome of rooibo s (Aspalathus linearis)\; an endemic South African medicinal plant species commonly known as a beverage – rooibos tea. Here\, I provide insight in to the computational requirements essential for the analysis of this relat ively large eukaryotic genome (1.2 Gbp). Biocomputational data analysis\, spanning base calling and quality filtering of the raw data (≈2.5 Tb)\, genome and transcriptome assembly\, and subsequent structural and function al genome annotation\, was completed locally at CHPC in Cape Town.\n\nhttp s://events.chpc.ac.za/event/125/contributions/1890/ LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1890/ END:VEVENT BEGIN:VEVENT SUMMARY:Intel Workshop 3: AI Careers DTSTART;VALUE=DATE-TIME:20231204T144500Z DTEND;VALUE=DATE-TIME:20231204T153000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1903@events.chpc.ac.za DESCRIPTION:Speakers: Walter Riviera (Intel)\n**AI Career development**\n* For AI enthusiasts and students.*\n\nWalk-through on how to develop a care er in AI.\n\nhttps://events.chpc.ac.za/event/125/contributions/1903/ LOCATION:Skukuza 1-1-1 - Ingwe URL:https://events.chpc.ac.za/event/125/contributions/1903/ END:VEVENT BEGIN:VEVENT SUMMARY:Intel Workshop 2: Hardware DTSTART;VALUE=DATE-TIME:20231204T140000Z DTEND;VALUE=DATE-TIME:20231204T144500Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1899@events.chpc.ac.za DESCRIPTION:Speakers: Walter Riviera (Intel)\n**Session 2: Software**\n*Fo r Data Scientists\, AI Engineers\, and Technical Decision-makers.*\n\nAI s oftware optimizations:\n\n - Modin\, Pandas\, and Tensorflow & Pytorch ext ensions\n - Demos\n\nLLM and Generative AI:\n\n - Product introduction\n - Demo\n - Engagement model (costs/procedure)\n\nhttps://events.chpc.ac.za/ event/125/contributions/1899/ LOCATION:Skukuza 1-1-1 - Ingwe URL:https://events.chpc.ac.za/event/125/contributions/1899/ END:VEVENT BEGIN:VEVENT SUMMARY:DFT studies of Iron at extreme temperature and pressure conditions \, metal oxides and dopant-induced magnetization in a two-dimensional mate rial DTSTART;VALUE=DATE-TIME:20231206T135000Z DTEND;VALUE=DATE-TIME:20231206T141000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1889@events.chpc.ac.za DESCRIPTION:Speakers: Abdulrafiu Tunde Raji (University of South Africa (U NISA))\nWe present an overview of some of our recent DFT studies of bulk s olid-state systems\, of Iron\, metal-oxide and alloys\, as well as two-dim ensional silicene. In particular\, we show the applications of x-ray absor ption near-edge spectroscopy (XANES) to elucidate the physical and chemica l properties of these materials. We show the possibility to induce novel-m agnetic properties in silicene through small transition-metal vanadium clu ster inclusion. Furthermore\, we describe albeit briefly\, our recent coll aborative work on rare-earth oxides nanostructures. Finally\, the central role of high-performance Linux clusters at the CHPC (South Africa) in our computational studies and in facilitating research collaborations within Africa and beyond is discussed.\n\nhttps://events.chpc.ac.za/event/125/con tributions/1889/ LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1889/ END:VEVENT BEGIN:VEVENT SUMMARY:Materials Studio Mastery: A One-Day Dive into Advanced Modeling an d Simulation DTSTART;VALUE=DATE-TIME:20231204T070000Z DTEND;VALUE=DATE-TIME:20231204T083000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1887@events.chpc.ac.za DESCRIPTION:Speakers: Kingsley Obodo (North-West University)\nThis one-day tutorial on using Materials Studio is designed to provide participants wi th comprehensive hands-on experience in materials modeling and simulation. The tutorial will focus on several key aspects of Materials Studio\, incl uding setting up calculations in CASTEP and DMOL3\, utilizing the adsorpti on locator\, constructing surfaces\, generating supercells and layers\, an d effectively interpreting simulation results.\n\nThe tutorial will begin with an introduction to the software environment and its capabilities. Par ticipants will then delve into the intricacies of setting up calculations in CASTEP and DMOL3\, two powerful tools for materials modeling. Subsequen tly\, the tutorial will explore the adsorption locator feature\, enabling participants to study the adsorption of molecules on surfaces.\n\nA signif icant portion of the tutorial will be dedicated to building surfaces\, und erstanding supercell generation\, and constructing layers within the Mater ials Studio environment. Participants will gain practical skills in manipu lating structures and simulating materials' behaviors under various condit ions.\n\nThe tutorial will conclude with an emphasis on result interpretat ion\, equipping participants with the ability to extract valuable insights from their simulations. Throughout the day\, practical exercises and exam ples will be provided to enhance learning and ensure that participants lea ve with a strong foundation in using Materials Studio for materials resear ch.\n\nThis tutorial is ideal for researchers\, scientists\, and students interested in computational materials science and seeking to harness the c apabilities of Materials Studio for their work.\n\nhttps://events.chpc.ac. za/event/125/contributions/1887/ LOCATION:Skukuza 1-1-4 - Nari URL:https://events.chpc.ac.za/event/125/contributions/1887/ END:VEVENT BEGIN:VEVENT SUMMARY:Atomistic Simulations with MedeA\, an integrated computational mat erials science and engineering software suite DTSTART;VALUE=DATE-TIME:20231204T070000Z DTEND;VALUE=DATE-TIME:20231204T083000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1886@events.chpc.ac.za DESCRIPTION:Speakers: David Reith (Materials Design)\nToday\, a deep compr ehension of the interplay between chemical reactions and physical processe s is achievable through rigorous atomistic-scale simulation techniques. Th e Materials Design's MedeA® simulation environment [1] efficiently suppor ts material scientists and engineers globally by offering an integrated su ite of user-friendly tools. These include the leading quantum chemical and molecular mechanics solver Vienna Ab-Initio Simulation Package (VASP) [2] \, the forcefield-based molecular dynamics and Monte Carlo engines LAMMPS [3] and GIBBS [4]\, and the quantum chemistry codes Gaussian [5] and MOPAC [6]. MedeA®'s property prediction modules efficiently use these engines to compute a wide range of material properties.\nTo reach across length an d time scales up to the mesoscale and microscale\, and to explore an expan sive configuration space\, MedeA offers versatile multi-scale methodologie s. These encompass Universal Cluster Expansion\, coarse-grain potentials\, and automated machine-learned potential generation. \n\n**Program** \n\n* *1st session:** Using MedeA to perform ab initio VASP calculations\n\n - G etting started with MedeA: Basic structure retrieval (InfomaticA)\n and building\n - Introduction to MedeA VASP: Setting up simple calculations wi th MedeA VASP\n - Hands-on: Heat of formation of SiC using PBE\, meta-GGA and ACDFT-RPA \n - Speed up MD simulations using VASP’s Machine-Learned Forcefields (MLFF)\n\n\n**2nd session:** Using forcefields in MedeA to per form LAMMPS simulations\n\n - Introduction to MedeA LAMMPS\n - Vibrational properties using the direct method (MedeA Phonon) and from velocity autoc orrelation functions using (MedeA MD Phonon)\n - Calculating transport pro perties\, such as thermal conductivity\, and diffusion\, with MedeA LAMMPS \n\n\n**3rd session:** Machine Learning: Bridging the length scales from ab initio to forcefields\n\n - MedeA Universal Cluster Expansion (UNCLE)\n - Introduction to MedeA Machine-Learned Potential Generator (MLPG)\n\n**A bout Materials Design:** \nMaterials Design is the leading atomistic simul ation software and services company for materials. We help customers acros s many diverse industries design new materials\, predict their properties\ , and generate value through innovation.\n \n**References** \n[1] MedeA® - Materials Exploration and Design Analysis Software\, Materials Design\, Inc.\, Angel Fire\, NM\, USA 1998-2014.\n[2] Vienna Ab-Initio Simulation P ackage (VASP)\, G. Kresse and J. Furthmüller\, Phys. Rev. B 54\, 11169 (1 996).\n[3] Large-scale Atomic/Molecular Massively Parallel Simulator (LAMM PS)\, S. Plimpton. J. Comp. Phys.\, 117\, 1 (1995).\n[4] MedeA®-Gibbs: Li cense IFPEN-CNRS-Université Paris-Sud (2003).\n[5] Gaussian 09\, Revision A.02\, M. J. Frisch\, et al.\, Gaussian\, Inc.\, Wallingford CT\, 2016.\n [6] Molecular Orbital PACkage (MOPAC)\, J. J. P. Stewart\, J. Mol. Model. 13\, 1173 (2007)\; J. Mol. Model.19\, 1 (2013).\n\nhttps://events.chpc.ac. za/event/125/contributions/1886/ LOCATION:Skukuza 1-1-3 - Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1886/ END:VEVENT BEGIN:VEVENT SUMMARY:Building an HPC Cloud with OpenStack DTSTART;VALUE=DATE-TIME:20231204T070000Z DTEND;VALUE=DATE-TIME:20231204T083000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1885@events.chpc.ac.za DESCRIPTION:Speakers: Stig Telfer (StackHPC Ltd)\nOpenStack has become the de facto standard for on-premise cloud infrastructure. This hands-on wor kshop will introduce an open project to create private and hybrid cloud in frastructure\, and how it can be used to address the requirements of HPC.\ n\nThrough the pooled collaboration effort of an open community involving many scientific institutions worldwide\, many complexities and overheads c ommonly associated with OpenStack operation are overcome.\n\nThe hands-on workshop will provide access to a lab environment where an OpenStack syste m can be built and the components within it explored and explained.\n\nFam iliarity with technologies such as Linux\, Docker and Ansible will be help ful (but not essential).\n\n**Target audience:**\n\n - People interested i n running HPC workloads in the cloud: HPC users\n - People interested in l earning how to Deploy HPC service in the cloud: cloud admin\, engineers \n - People interested in learning openstack: cloud admin\, engineers\, clou d users\n\n**Format:** Hands on tutorials\n\n**Duration:** Full day (divid ed into 2 half day)\n\n - we can accommodate the first 30 attendees befor e lunch and the last 30 attendees after lunch\n\n**Requirements:**\n\n - * Sebowa* will be used to run this workshop and delegates will be provided t emporary training accounts.\n - Attendees must come with their own laptops .\n - Ansible and Terraform expertise are not compulsory but advantageous\ n - Openstack expertise not compulsory but advantageous\n\nhttps://events. chpc.ac.za/event/125/contributions/1885/ LOCATION:Skukuza 1-1-2 - Ndau URL:https://events.chpc.ac.za/event/125/contributions/1885/ END:VEVENT BEGIN:VEVENT SUMMARY:Intel Workshop 1: Software DTSTART;VALUE=DATE-TIME:20231204T120000Z DTEND;VALUE=DATE-TIME:20231204T133000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1884@events.chpc.ac.za DESCRIPTION:Speakers: Walter Riviera (Intel)\nWalter Riviera\n*AI Center o f Excellence — EMEA*\n\n**Session 1: Hardware**\n*For IT/AI Engineers\, hardware specialists and technical decision-makers.*\n\nAMX on Xeon:\n\n - AI features\n - Performance\n\nGPUs:\n\n - Introduction to 140/170\n - PV C performance\n\nHabana:\n\n - Introduction to devices\n - Performance\n\n Q&A\n\n*Refreshment break*\n\nhttps://events.chpc.ac.za/event/125/contribu tions/1884/ LOCATION:Skukuza 1-1-1 - Ingwe URL:https://events.chpc.ac.za/event/125/contributions/1884/ END:VEVENT BEGIN:VEVENT SUMMARY:Unleashing the Cloud-Native Potential: Rethinking Research Cyber-I nfrastructures with Kubernetes and Cloud APIs DTSTART;VALUE=DATE-TIME:20231205T115000Z DTEND;VALUE=DATE-TIME:20231205T121000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1914@events.chpc.ac.za DESCRIPTION:Speakers: Peter van Heusden (SANBI\, University of the Western Cape)\nThe increasing adoption of cloud technologies in research cyber-in frastructures\, including commercial clouds (Azure\, GCP\, AWS)\, research -oriented clouds (CHPC’s Sebowa cloud and Ilifu cloud facility)\, and pr ivate cloud environments\, has enabled greater flexibility and scalability in the industry and academia.. We present the use of Kubernetes and Cloud resources in the ongoing African Pathogen Data Sharing and Archive projec t\, a multi-country effort to develop a mechanism for sharing pathogen gen omic data among public health laboratories. Through this use case\, we dem onstrate how effectively utilizing cloud resources necessitates a paradigm shift in viewing infrastructure as an integral part of the application\, rather than a separate entity. Emphasizing the significance of API-driven software-defined infrastructure over traditional methods like creating vir tual machines and networks\, we present lessons learned that challenge the conventional approach to managing research cyber-infrastructures.\n\nhttp s://events.chpc.ac.za/event/125/contributions/1914/ LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1914/ END:VEVENT BEGIN:VEVENT SUMMARY:DIPLOMICS: An Overview DTSTART;VALUE=DATE-TIME:20231205T113000Z DTEND;VALUE=DATE-TIME:20231205T115000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1913@events.chpc.ac.za DESCRIPTION:Speakers: Patricia Swart (DIPLOMICS)\nDIPLOMICS (DIstributed P Latform in OMICS) is a research infrastructure established by the Departme nt of Science and Innovation through its South African Research Infrastruc ture Roadmap (SARIR). “OMICS”\, the study of a collection of biologica l molecules\, e.g. genomics\, proteomics and metabolomics\, often involves high-throughput\, large-scale data generation. Our objectives are to enab le and strengthen Omics capacity\, improve the quality of research and inc rease access to Omics technology and expertise. With our network partner l abs\, we pursue our goals by developing programmes as vehicles for trainin g and method development. For instance\, DIPLOMICS is in the pilot phase o f one of these high-impact\, high-visibility programmes – 1KSA: Decoding South Africa’s Biodiversity – which is using Oxford Nanopore Technolo gy to sequence the genomes of over 1000 South African species important to biodiversity and conservation. CLARITY\, a bioinformatics marketplace mad e possible by DIPLOMICS\, will assist with developing workflows to assembl e the genome of each of these species. During the pilot phase of 1KSA\, we explore the challenges and feasibility of large-scale data transfer\, ana lysis and storage in the country. NICIS has a significant role in making t his a success and has provided guidance and support thus far. 1KSA aims to ultimately generate a national resource of genomic data for South African scientists. The lessons learned\, solutions created\, and skills gained w ill benefit other large-scale genomic initiatives in South Africa.\n\nhttp s://events.chpc.ac.za/event/125/contributions/1913/ LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe URL:https://events.chpc.ac.za/event/125/contributions/1913/ END:VEVENT BEGIN:VEVENT SUMMARY:Numerical simulation of atmospheric boundary layer turbulence on H PC systems DTSTART;VALUE=DATE-TIME:20231206T100000Z DTEND;VALUE=DATE-TIME:20231206T101500Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1912@events.chpc.ac.za DESCRIPTION:Speakers: Evgeny Mortikov (Lomonosov Moscow State University)\ nWe discuss the development of the unified framework for the numerical sim ulation of the atmospheric boundary layer turbulence. The model developed at the Lomonosov Moscow State University combines DNS (Direct Numerical Si mulation)\, LES (Large-Eddy Simulation) and RANS (Reynolds-Averaged Navier -Stokes) approaches for turbulence modelling and allows high-resolution si mulations on HPC systems by using MPI\, OpenMP and CUDA. The code is struc tured in a such way as to separate the solution of high-level “numerical ” and “physical” problems from the code related to parallelization o r low-level algorithm optimization highly dependent on the computational a rchitecture. The principal advantage of such separation is the ability to tune the code for different architectures without modifying the high-level and problem specific part of the code. The efficiency of the model implem entation and the challenges of using heterogeneous architecture of modern HPC are discussed. A particular emphasis is placed on the code optimizatio ns relevant for problems of aerosol and chemistry transport in urban envir onment. We show how the DNS- and LES- simulations may be used to improve current boundary-layer processes parameterizations used in Earth system mo dels.\n\nhttps://events.chpc.ac.za/event/125/contributions/1912/ LOCATION:Skukuza 1-1-2 - Ndau URL:https://events.chpc.ac.za/event/125/contributions/1912/ END:VEVENT BEGIN:VEVENT SUMMARY:® The Development of An Adaptive Mesh Atmospheric Model - Fluidit y-Atmosphere DTSTART;VALUE=DATE-TIME:20231206T091500Z DTEND;VALUE=DATE-TIME:20231206T093000Z DTSTAMP;VALUE=DATE-TIME:20260609T214524Z UID:indico-contribution-125-1911@events.chpc.ac.za DESCRIPTION:Speakers: Jinxi Li ()\nThis study presents the development of a three-dimensional unstructured adaptive finite-element model (Fluidity-A tmosphere) for atmospheric research. To improve the computational efficien cy\, a LSTM-based three-dimensional unstructured mesh generator is propose d to predict the evolution of the adaptive mesh. To evaluate the performan ce of adaptive meshes and physical parameterisations in Fluidity-Atmospher e\, a series of idealized test cases have been setup and the unstructured tetrahedral meshes are adapted automatically with the specified fields in time and space.\n\nhttps://events.chpc.ac.za/event/125/contributions/1911/ LOCATION:Skukuza 1-1-2 - Ndau URL:https://events.chpc.ac.za/event/125/contributions/1911/ END:VEVENT END:VCALENDAR