BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CERN//INDICO//EN
BEGIN:VEVENT
SUMMARY:SIGHPC Edu
DTSTART;VALUE=DATE-TIME:20241203T125500Z
DTEND;VALUE=DATE-TIME:20241203T130000Z
DTSTAMP;VALUE=DATE-TIME:20260310T183652Z
UID:indico-contribution-653-2518@events.chpc.ac.za
DESCRIPTION:https://events.chpc.ac.za/event/139/contributions/2518/
LOCATION:Boardwalk Convention Centre BICC.G-D1 - D1 Tsitsikamma
URL:https://events.chpc.ac.za/event/139/contributions/2518/
END:VEVENT
BEGIN:VEVENT
SUMMARY:® SIGHPC Committee
DTSTART;VALUE=DATE-TIME:20241203T124500Z
DTEND;VALUE=DATE-TIME:20241203T125500Z
DTSTAMP;VALUE=DATE-TIME:20260310T183652Z
UID:indico-contribution-653-2517@events.chpc.ac.za
DESCRIPTION:https://events.chpc.ac.za/event/139/contributions/2517/
LOCATION:Boardwalk Convention Centre BICC.G-D1 - D1 Tsitsikamma
URL:https://events.chpc.ac.za/event/139/contributions/2517/
END:VEVENT
BEGIN:VEVENT
SUMMARY:® Onboarding new first time HPC users
DTSTART;VALUE=DATE-TIME:20241203T123500Z
DTEND;VALUE=DATE-TIME:20241203T124500Z
DTSTAMP;VALUE=DATE-TIME:20260310T183652Z
UID:indico-contribution-653-2516@events.chpc.ac.za
DESCRIPTION:Speakers: John Poole ()\nhttps://events.chpc.ac.za/event/139/c
 ontributions/2516/
LOCATION:Boardwalk Convention Centre BICC.G-D1 - D1 Tsitsikamma
URL:https://events.chpc.ac.za/event/139/contributions/2516/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Are You Doing Science?
DTSTART;VALUE=DATE-TIME:20241203T115500Z
DTEND;VALUE=DATE-TIME:20241203T123500Z
DTSTAMP;VALUE=DATE-TIME:20260310T183652Z
UID:indico-contribution-653-2515@events.chpc.ac.za
DESCRIPTION:Speakers: Jay Lofstead (Sandia National Laboratories)\nhttps:/
 /events.chpc.ac.za/event/139/contributions/2515/
LOCATION:Boardwalk Convention Centre BICC.G-D1 - D1 Tsitsikamma
URL:https://events.chpc.ac.za/event/139/contributions/2515/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Overview of new local HPC course
DTSTART;VALUE=DATE-TIME:20241203T114500Z
DTEND;VALUE=DATE-TIME:20241203T115500Z
DTSTAMP;VALUE=DATE-TIME:20260310T183652Z
UID:indico-contribution-653-2514@events.chpc.ac.za
DESCRIPTION:https://events.chpc.ac.za/event/139/contributions/2514/
LOCATION:Boardwalk Convention Centre BICC.G-D1 - D1 Tsitsikamma
URL:https://events.chpc.ac.za/event/139/contributions/2514/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Overview of Wits HPC
DTSTART;VALUE=DATE-TIME:20241203T113500Z
DTEND;VALUE=DATE-TIME:20241203T114500Z
DTSTAMP;VALUE=DATE-TIME:20260310T183652Z
UID:indico-contribution-653-2513@events.chpc.ac.za
DESCRIPTION:https://events.chpc.ac.za/event/139/contributions/2513/
LOCATION:Boardwalk Convention Centre BICC.G-D1 - D1 Tsitsikamma
URL:https://events.chpc.ac.za/event/139/contributions/2513/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Welcome and Introduction
DTSTART;VALUE=DATE-TIME:20241203T113000Z
DTEND;VALUE=DATE-TIME:20241203T113500Z
DTSTAMP;VALUE=DATE-TIME:20260310T183652Z
UID:indico-contribution-653-2512@events.chpc.ac.za
DESCRIPTION:Speakers: Bryan Johnston (CHPC)\nhttps://events.chpc.ac.za/eve
 nt/139/contributions/2512/
LOCATION:Boardwalk Convention Centre BICC.G-D1 - D1 Tsitsikamma
URL:https://events.chpc.ac.za/event/139/contributions/2512/
END:VEVENT
BEGIN:VEVENT
SUMMARY:HPC Ecosystems BoF
DTSTART;VALUE=DATE-TIME:20241204T113000Z
DTEND;VALUE=DATE-TIME:20241204T130000Z
DTSTAMP;VALUE=DATE-TIME:20260310T183652Z
UID:indico-contribution-653-2510@events.chpc.ac.za
DESCRIPTION:Speakers: Coordinator: Mr Bryan Johnston (CHPC)\nThis session 
 is an opportunity for members of the HPC Ecosystems Community and those th
 at identify as associates / affiliates to convene in-person. The session w
 ill allow for members to discuss matters relating to HPC Ecosystems Projec
 t as well as broader African HPC and emerging HPC community topics. The 90
 -minute session will include 60-minutes of prepared talks from members of 
 the community\, followed by a further 30-minutes of open time for discussi
 on and meaningful community engagement. Alas\, muffins are not guaranteed.
 \n\nProvisional talks include:\n\n* HPC Ecosystems Project review for 2024
 \n* University of the Witwatersrand - Open OnDemand regional Lab\n* HPC Ec
 osystems monitoring toolchain\n* Wits SIG HPC with Ecosystems\n* A curricu
 lum for SysAdmin training\n* Feedback on an African HPC discovery survey\n
 * HPC Ecosystems Project plans for 2025+\n\nhttps://events.chpc.ac.za/even
 t/139/contributions/2510/
LOCATION:Boardwalk Convention Centre BICC.G-D1 - D1 Tsitsikamma
URL:https://events.chpc.ac.za/event/139/contributions/2510/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Sustainable AI Infrastructure: A Mandatory Pathway for Supercomput
 ing Centres
DTSTART;VALUE=DATE-TIME:20241204T094000Z
DTEND;VALUE=DATE-TIME:20241204T102000Z
DTSTAMP;VALUE=DATE-TIME:20260310T183652Z
UID:indico-contribution-653-2506@events.chpc.ac.za
DESCRIPTION:Speakers: Maximilian Höb (Leibniz Supercomputing Centre (LRZ)
 )\nAs artificial intelligence drives more and more innovation in industry 
 and science with the emergence of Large-Language Models (LLMs)\, the deman
 d for such computing resources is growing substantially. This development 
 poses major challenges for supercomputing centres around the world\, as th
 ey need to provide state-of-the-art AI resources while meeting their susta
 inability goals and mandates.\nWhile today's world-leading supercomputer a
 ccording to the Top500 list require about 23 MWatt (Frontier) to provide c
 omputing power to the scientific community\, we see an exponential increas
 e in power consumption for AI training and inference. Estimates for traini
 ng and interference of current LLMs are huge\, and newer models will requi
 re even more power\, representing an unnoticed increase in energy consumpt
 ion.\nFor the operational requirements of HPC and AI supercomputers\, we n
 eed to evaluate the total power consumption and thus the total energy base
 d on the Power Usage Effectiveness (PUE). A four-pillar model was develope
 d at the Leibniz Supercomputing Centre (LRZ) to implement a holistic optim
 isation strategy for energy efficiency\, which includes the building infra
 structure\, system hardware and software as well as the actual application
 s. By extending this to AI hardware and cooling\, optimising AI models and
  implementing AI-driven resource management\, supercomputing facilities ca
 n meet these requirements while offsetting their environmental footprint.\
 n\nhttps://events.chpc.ac.za/event/139/contributions/2506/
LOCATION:Boardwalk Convention Centre BICC.G-D1 - D1 Tsitsikamma
URL:https://events.chpc.ac.za/event/139/contributions/2506/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Empowering Southern Africa's Researchers: Overcoming HPC Barriers 
 with MATLAB Tools
DTSTART;VALUE=DATE-TIME:20241204T090000Z
DTEND;VALUE=DATE-TIME:20241204T094000Z
DTSTAMP;VALUE=DATE-TIME:20260310T183652Z
UID:indico-contribution-653-2504@events.chpc.ac.za
DESCRIPTION:Speakers: Marco Rossi (MathWorks)\nAs scientific data gets big
 ger and its analyses involves increasingly complex algorithms\, access to 
 High Performance Computing (HPC) resources in the form of multi-core CPUs 
 and GPUs become essential for scientific research.\n\nOne main impediment 
 to harnessing these resources remains the high barrier to entry – HPC sy
 stems often require a deep understanding of computing architecture and com
 mand line interfaces\, a skill not many researchers possess.\n\nThe approa
 ch to parallel computing within MATLAB is to abstract away a lot of this c
 omplexity from the end-user\, so that they can progress seamlessly from th
 eir prototype on the desktop onto the cloud or the cluster. The power of t
 he [Parallel Computing Toolbox][1] and [MATLAB Parallel Server][2] is free
  and available already to more than 20+ Universities and Institutions in S
 outhern Africa\, [like CSIR and many others][3]. In this presentation\, I 
 will show how MathWorks tools can streamline research computational effort
  with three ways to make parallel programming more accessible\n\n 1. the a
 bility to scale from local machine to cluster using minimal changes to the
  code\,\n 2. the ability to submit jobs remotely to HPC clusters from with
 in the users’ local MATLAB environment using MATLAB Parallel Server\,\n 
 3. free training workshop being held globally in partnership with HPC cent
 ers to upskill scientists and researchers in parallel programming.\n\n\n  
 [1]: https://nl.mathworks.com/products/parallel-computing.html\n  [2]: htt
 ps://nl.mathworks.com/products/matlab-parallel-server.html\n  [3]: https:/
 /nl.mathworks.com/academia/tah-portal/csir-31652745.html\n\nhttps://events
 .chpc.ac.za/event/139/contributions/2504/
LOCATION:Boardwalk Convention Centre BICC.G-D1 - D1 Tsitsikamma
URL:https://events.chpc.ac.za/event/139/contributions/2504/
END:VEVENT
BEGIN:VEVENT
SUMMARY:AI next trends: the critical HW and SW marriage (Intel)
DTSTART;VALUE=DATE-TIME:20241202T093500Z
DTEND;VALUE=DATE-TIME:20241202T095500Z
DTSTAMP;VALUE=DATE-TIME:20260310T183652Z
UID:indico-contribution-653-2456@events.chpc.ac.za
DESCRIPTION:Speakers: Walter Riviera (Intel)\nIn this session we'll walk t
 hrough the rapid evolution of the AI workloads\, and learn key insights on
  how next gen Hardware and Software will look like.\n\nhttps://events.chpc
 .ac.za/event/139/contributions/2456/
LOCATION:Boardwalk Convention Centre BICC.G-D1 - D1 Tsitsikamma
URL:https://events.chpc.ac.za/event/139/contributions/2456/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Digital Twins for Energy Efficient and Sustainable Datacenters (HP
 E)
DTSTART;VALUE=DATE-TIME:20241202T091500Z
DTEND;VALUE=DATE-TIME:20241202T093500Z
DTSTAMP;VALUE=DATE-TIME:20260310T183652Z
UID:indico-contribution-653-2455@events.chpc.ac.za
DESCRIPTION:Speakers: Tim Dykes ()\nDigital Twins are the basis of a rapid
 ly growing field of study that pairs physical systems with their digital r
 epresentation to enhance understanding of the physical counterpart. Digita
 l twins of data-centres are becoming a reality\, using bi-directional feed
 back loops to link operational telemetry with models of associated sub-sys
 tems\, which are combined with visualisation and analytics components. We 
 will discuss on-going collaborative research into such datacenter digital 
 twins\, which promise improved system behaviour prediction\, optimised sys
 tem operation\, and ultimately better-informed decision-making for operati
 ng large-scale compute centre installations with associated power\, coolin
 g\, and management infrastructure in a sustainable and energy efficient ma
 nner. \n \nTim Dykes | Senior Research Engineer | HPE HPC/AI EMEA Research
  Lab\n\nhttps://events.chpc.ac.za/event/139/contributions/2455/
LOCATION:Boardwalk Convention Centre BICC.G-D1 - D1 Tsitsikamma
URL:https://events.chpc.ac.za/event/139/contributions/2455/
END:VEVENT
BEGIN:VEVENT
SUMMARY:The Data Platform to Accelerate HPC Deployments (VAST Data)
DTSTART;VALUE=DATE-TIME:20241202T121000Z
DTEND;VALUE=DATE-TIME:20241202T123000Z
DTSTAMP;VALUE=DATE-TIME:20260310T183652Z
UID:indico-contribution-653-2453@events.chpc.ac.za
DESCRIPTION:Speakers: Kim Ormiston (Sponsor)\nThe VAST Data Platform accel
 erates HPC by delivering the performance and scale of parallel file system
 s with the simplicity of NAS\, all at archive economics. Powered by VAST
 ’s DASE architecture\, our customers build scale-out systems delivering 
 TB/s and millions of IOPS of performance without the rigidity and overhead
  of legacy architectures.\n\nhttps://events.chpc.ac.za/event/139/contribut
 ions/2453/
LOCATION:Boardwalk Convention Centre BICC.G-D1 - D1 Tsitsikamma
URL:https://events.chpc.ac.za/event/139/contributions/2453/
END:VEVENT
BEGIN:VEVENT
SUMMARY:NVIDIA Accelerated Computing (NVIDIA)
DTSTART;VALUE=DATE-TIME:20241202T123000Z
DTEND;VALUE=DATE-TIME:20241202T125000Z
DTSTAMP;VALUE=DATE-TIME:20260310T183652Z
UID:indico-contribution-653-2454@events.chpc.ac.za
DESCRIPTION:Speakers: Belinda Leigh Duke (Partner)\nNVIDIA’s Accelerated
  Computing Platform is designed to accelerate various workloads\, includin
 g AI\, HPC\, Professional Visualisation & Gaming. The platform provides fa
 ster performance\, increased productivity\, improved accuracy\, and cost s
 avings for organizations across industries.\n \nNVIDIA’s Accelerated Com
 puting Platform is designed to accelerate various workloads\, including:\n
  \n* Artificial Intelligence (AI): NVIDIA’s GPUs and Tensor Cores accele
 rate AI workloads\, such as deep learning\, natural language processing an
 d computer vision.\n* High Performance Computing (HPC): NVIDIA’s GPUs an
 d networking technologies accelerate HPC workloads\, such as scientific si
 mulations\, data analytics and visualization\n* Professional Visualization
 : NVIDIA’s GPUs and Quadro professional visualisation workloads\, such a
 s 3D modelling\, engineering\, and video production\n* Gaming: NVIDIA’S 
 GeForce GPUs accelerate gaming workloads\, providing fast performance\, lo
 w latency\, and high-quality graphics\n \nNVIDIA’s Accelerated Computing
  Platform:\n \n* NVIDIA GPU Architecture: NVIDIA’s GPU Architecture is d
 esigned to accelerate compute -intensive workloads\n* CUDA: CUDA is NVIDIA
 ’s parallel computing platform and programming model and allows develope
 rs to harness the power of NVIDIA GPU’S\n* NVIDIA Networking: NVIDIA’s
  networking technologies such as NVIDIA Mellanox\, provide high-speed netw
 orking solutions for accelerated computing workloads\n* NVIDIA Software: N
 VIDIA provides a range of software development kits (SDKs) and tools to su
 pport accelerated computing workloads.\n \nNumerous Industries benefit fro
 m NVIDIA Accelerated Computing\, just to name a few: Healthcare (accelerat
 ion of medical imaging\, genomics\, and drug discovery workloads) Finance 
 (acceleration of financial modelling\, rick analysis and trading workloads
 ) Scientific Research: (acceleration of scientific simulations\, data anal
 ytics and visualization workloads) Gaming and Professional Visualization: 
 (faster performance and high-quality graphics)\n\nhttps://events.chpc.ac.z
 a/event/139/contributions/2454/
LOCATION:Boardwalk Convention Centre BICC.G-D1 - D1 Tsitsikamma
URL:https://events.chpc.ac.za/event/139/contributions/2454/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Q&A
DTSTART;VALUE=DATE-TIME:20241202T103500Z
DTEND;VALUE=DATE-TIME:20241202T104500Z
DTSTAMP;VALUE=DATE-TIME:20260310T183652Z
UID:indico-contribution-653-2491@events.chpc.ac.za
DESCRIPTION:Speakers: Q&A ()\nhttps://events.chpc.ac.za/event/139/contribu
 tions/2491/
LOCATION:Boardwalk Convention Centre BICC.G-D1 - D1 Tsitsikamma
URL:https://events.chpc.ac.za/event/139/contributions/2491/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Pinnacle Presentation (TBC)
DTSTART;VALUE=DATE-TIME:20241202T101500Z
DTEND;VALUE=DATE-TIME:20241202T103500Z
DTSTAMP;VALUE=DATE-TIME:20260310T183652Z
UID:indico-contribution-653-2458@events.chpc.ac.za
DESCRIPTION:Speakers: Roger Crighton (Supermicro)\nTBC\n\nhttps://events.c
 hpc.ac.za/event/139/contributions/2458/
LOCATION:Boardwalk Convention Centre BICC.G-D1 - D1 Tsitsikamma
URL:https://events.chpc.ac.za/event/139/contributions/2458/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Dell AI Factory (Dell)
DTSTART;VALUE=DATE-TIME:20241202T095500Z
DTEND;VALUE=DATE-TIME:20241202T101500Z
DTSTAMP;VALUE=DATE-TIME:20260310T183652Z
UID:indico-contribution-653-2457@events.chpc.ac.za
DESCRIPTION:Speakers: Jacques Visagie ()\nTBC\n\nhttps://events.chpc.ac.za
 /event/139/contributions/2457/
LOCATION:Boardwalk Convention Centre BICC.G-D1 - D1 Tsitsikamma
URL:https://events.chpc.ac.za/event/139/contributions/2457/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Q&A
DTSTART;VALUE=DATE-TIME:20241203T102000Z
DTEND;VALUE=DATE-TIME:20241203T103000Z
DTSTAMP;VALUE=DATE-TIME:20260310T183652Z
UID:indico-contribution-653-2484@events.chpc.ac.za
DESCRIPTION:https://events.chpc.ac.za/event/139/contributions/2484/
LOCATION:Boardwalk Convention Centre BICC.G-D1 - D1 Tsitsikamma
URL:https://events.chpc.ac.za/event/139/contributions/2484/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Q&A
DTSTART;VALUE=DATE-TIME:20241203T145000Z
DTEND;VALUE=DATE-TIME:20241203T150000Z
DTSTAMP;VALUE=DATE-TIME:20260310T183652Z
UID:indico-contribution-653-2477@events.chpc.ac.za
DESCRIPTION:https://events.chpc.ac.za/event/139/contributions/2477/
LOCATION:Boardwalk Convention Centre BICC.G-D1 - D1 Tsitsikamma
URL:https://events.chpc.ac.za/event/139/contributions/2477/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Q&A
DTSTART;VALUE=DATE-TIME:20241202T125000Z
DTEND;VALUE=DATE-TIME:20241202T130000Z
DTSTAMP;VALUE=DATE-TIME:20260310T183652Z
UID:indico-contribution-653-2463@events.chpc.ac.za
DESCRIPTION:Speakers: Q&A ()\nQ&A\n\nhttps://events.chpc.ac.za/event/139/c
 ontributions/2463/
LOCATION:Boardwalk Convention Centre BICC.G-D1 - D1 Tsitsikamma
URL:https://events.chpc.ac.za/event/139/contributions/2463/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Huawei Presentation (TBC)
DTSTART;VALUE=DATE-TIME:20241202T115000Z
DTEND;VALUE=DATE-TIME:20241202T121000Z
DTSTAMP;VALUE=DATE-TIME:20260310T183652Z
UID:indico-contribution-653-2452@events.chpc.ac.za
DESCRIPTION:Speakers: Collen Maphosa ()\nTBC\n\nhttps://events.chpc.ac.za/
 event/139/contributions/2452/
LOCATION:Boardwalk Convention Centre BICC.G-D1 - D1 Tsitsikamma
URL:https://events.chpc.ac.za/event/139/contributions/2452/
END:VEVENT
BEGIN:VEVENT
SUMMARY:H3C Presentation (TBC)
DTSTART;VALUE=DATE-TIME:20241202T113000Z
DTEND;VALUE=DATE-TIME:20241202T115000Z
DTSTAMP;VALUE=DATE-TIME:20260310T183652Z
UID:indico-contribution-653-2451@events.chpc.ac.za
DESCRIPTION:Speakers: Christo Cilliers ()\nTBC\n\nhttps://events.chpc.ac.z
 a/event/139/contributions/2451/
LOCATION:Boardwalk Convention Centre BICC.G-D1 - D1 Tsitsikamma
URL:https://events.chpc.ac.za/event/139/contributions/2451/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Infrastructure consideration for Science Engagement Information Ma
 nagement Systems on CHPC
DTSTART;VALUE=DATE-TIME:20241203T100000Z
DTEND;VALUE=DATE-TIME:20241203T102000Z
DTSTAMP;VALUE=DATE-TIME:20260310T183652Z
UID:indico-contribution-653-2443@events.chpc.ac.za
DESCRIPTION:Speakers: Muzi Matyila* (CSIR)\nThe Science Engagement Informa
 tion Management Systems (SEIMS) is a digitalisation initiative of the Depa
 rtment of Science and Innovation (DSI)’s Science Engagement (SE) Program
 me in collaboration with the CSIR-NGEI and other stakeholders. The SE prog
 ramme has the main objective of creating a society that is scientifically 
 literate towards socio-economic emancipation. SEIMS consists of a number o
 f initiatives run by different stakeholders with the aim of expediting the
  monitoring and evaluation processes in SE programmes by eradicating manua
 l data management. The infrastructure of SEIMS is split between production
  and testing environments. The production environment is publicly availabl
 e and requires high availability. As a result\, a topology that supports t
 hese requirements was adopted. On the other hand\, the testing environment
  mainly required availability and a topology supporting this requirement h
 ad to be adopted. For this purpose\, the CHPC infrastructure\, a DSI suppo
 rted cyber-infrastructure was utilised. The CHPC\ncollaborated with the CS
 IR-NGEI’s Software Architecture and Solutions (SAS) group for the sourci
 ng and configuration of the infrastructure necessary for the SEIMS initiat
 ive. This presentation with outline experiences and lessons learned throug
 h utilization of the infrastructure and how it helped fulfill the requirem
 ents and demands of the SEIMS product.\n\nhttps://events.chpc.ac.za/event/
 139/contributions/2443/
LOCATION:Boardwalk Convention Centre BICC.G-D1 - D1 Tsitsikamma
URL:https://events.chpc.ac.za/event/139/contributions/2443/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Bridging the Digital Divide with Cloud-Hosted Geo-Location Spectru
 m Databases
DTSTART;VALUE=DATE-TIME:20241203T090000Z
DTEND;VALUE=DATE-TIME:20241203T092000Z
DTSTAMP;VALUE=DATE-TIME:20260310T183652Z
UID:indico-contribution-653-2442@events.chpc.ac.za
DESCRIPTION:Speakers: Luzango Mfupe* (CSIR)\nAffordable and widespread bro
 adband access is essential for achieving the United Nations Sustainable De
 velopment Goals (UN SDGs) cantered on connectivity. This presentation high
 lights efforts to close the digital gap in South Africa’s underserved ru
 ral and township communities through innovative use of a CSIR-developed\, 
 Geo-Location Spectrum Database technology\, hosted by the Centre for High 
 Performance Computing. Utilizing Dynamic Spectrum Access principles\, this
  technology taps into underused radio spectrum to enable wireless network 
 operators to deliver cost-effective wireless broadband to remote areas. Th
 is CSIR developed technology has empowered women- and youth-led ICT SMMEs 
 to deploy and manage low-cost network infrastructure\, providing affordabl
 e internet to schools\, businesses\, and households in previously disadvan
 taged regions. By creating job opportunities and fostering digital inclusi
 on\, this project supports national goals to accelerate progress towards t
 he UN SDGs.\n\nhttps://events.chpc.ac.za/event/139/contributions/2442/
LOCATION:Boardwalk Convention Centre BICC.G-D1 - D1 Tsitsikamma
URL:https://events.chpc.ac.za/event/139/contributions/2442/
END:VEVENT
BEGIN:VEVENT
SUMMARY:OpenStack Adoption at CHPC: Advancing AFIS and Emerging DevOps Pro
 jects Through Scalable Cloud Solutions
DTSTART;VALUE=DATE-TIME:20241203T094000Z
DTEND;VALUE=DATE-TIME:20241203T100000Z
DTSTAMP;VALUE=DATE-TIME:20260310T183652Z
UID:indico-contribution-653-2438@events.chpc.ac.za
DESCRIPTION:Speakers: Kirodh Boodhraj* (CSIR)\nOpenStack is a cloud comput
 ing platform utilized by the Centre for High Performance Computing (CHPC) 
 to manage a wide range of software services. Its user-friendly interface e
 nables the creation\, scaling\, and management of virtual machines with mi
 nimal effort\, offering a flexible and scalable Infrastructure as a Servic
 e (IaaS) solution. The Advanced Fire Information System (AFIS)\, is a sate
 llite-based tool that delivers near real-time fire information to users gl
 obally. AFIS is an internationally acclaimed Software as a Service (SaaS) 
 which is traditionally hosted on self-managed infrastructure. AFIS’s bac
 kend and frontend systems are being transitioned to CHPC's OpenStack envir
 onment. This migration has been successful\, with several AFIS subsystems 
 deployed without performance issues. The shift to OpenStack provides signi
 ficant advantages\, such as mitigating the risks associated with infrastru
 cture failure and reducing the need for manual intervention in server mana
 gement. Costs associated with server maintenance and infrastructure are si
 gnificantly saved on. Minimal modifications were required for the AFIS sub
 systems software deployment. Looking ahead\, OpenStack presents a promisin
 g solution for migrating other current projects\, including community safe
 ty project backends and geocoding engines and emerging DevOps applications
  such as the TB\, E-Coli and HPV projects. Lastly\, the integration of Ope
 nStack has facilitated enhanced collaboration with other CSIR groups\, CHP
 C\, SANReN\, and DIRISA.\n\n**Team members:** Kirodh Boodhraj (Project Lea
 d)\, Tau Makgaile\, Karen Steenkamp\, Gert Wessels\, Chris Mahlathi\, Phel
 isa Ntayiya\, Roger Daniels and Lufuno Vhengani (previous team member).\n\
 nhttps://events.chpc.ac.za/event/139/contributions/2438/
LOCATION:Boardwalk Convention Centre BICC.G-D1 - D1 Tsitsikamma
URL:https://events.chpc.ac.za/event/139/contributions/2438/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Image based analysis and crop prediction using smartphone.
DTSTART;VALUE=DATE-TIME:20241203T092000Z
DTEND;VALUE=DATE-TIME:20241203T094000Z
DTSTAMP;VALUE=DATE-TIME:20260310T183652Z
UID:indico-contribution-653-2437@events.chpc.ac.za
DESCRIPTION:Speakers: Lindokuhle Mdletshe* (INNOBIZ Group (Pty) Ltd)\nThe 
 2019 White Paper on Science\, Technology\, and Innovation in South Africa\
 nemphasises the core themes of inclusivity\, transformation\, and partners
 hips. Following\nthe introductory discussion with the farmers\, it became 
 clear that the majority of them have\nan urgent need for up-to-date soil-h
 ealth data and assistance with managing their crops\nin order to maximize 
 their profits. Addressing this\, our consortium aims to create a\nsmartpho
 ne app that will empower small-scale farmers with immediate soil-health\np
 redictions derived from soil digital images. Additionally\, this app will 
 extend its\nfunctionality to provide crop recommendations and assist the f
 armer in smart decision-\nmaking by incorporating regular weather updates 
 and nowcasting of local weather\nparameters. An integrated energy and sust
 ainability management module will be\ndesigned to monitor and control ener
 gy consumption and carbon emission. This project\nproposal unites partners
  from South Africa\, Scotland\, and Turkey\, leveraging their\ncollective 
 expertise in science\, agriculture and digital technologies.\n\n\nThis inn
 ovation integrates advanced technologies such as digital image processing 
 (DIP)\,\nmachine learning (ML)\, and artificial intelligence (AI)\, with d
 eep-learning algorithms and\nlarge language models (LLM) used for ML train
 ing\, and AI chatbot services for enhanced\nfunctionality. The app archite
 cture includes a mobile front-end API connected to a\ndynamic back-end sys
 tem\, featuring a database\, knowledge base\, and external APIs\, with Pyt
 hon serving as the core programming language. Therefore\, this project is 
 using\nSebowa Cloud Services – Commercial (4x vCPU\, 16GB RAM\, 200 GB D
 isk).\n\nhttps://events.chpc.ac.za/event/139/contributions/2437/
LOCATION:Boardwalk Convention Centre BICC.G-D1 - D1 Tsitsikamma
URL:https://events.chpc.ac.za/event/139/contributions/2437/
END:VEVENT
BEGIN:VEVENT
SUMMARY:® I/O Insights and Recommendations for All
DTSTART;VALUE=DATE-TIME:20241203T141000Z
DTEND;VALUE=DATE-TIME:20241203T143000Z
DTSTAMP;VALUE=DATE-TIME:20260310T183652Z
UID:indico-contribution-653-2424@events.chpc.ac.za
DESCRIPTION:Speakers: Jean Luca Bez (Lawrence Berkeley National Laboratory
 )\nThe complexity of the HPC I/O stack combined with gaps in the state-of-
 the-art profiling tools creates a barrier that does not help end-users and
  scientific application developers solve the I/O performance problems they
  encounter. To bridge this gap\, we introduce Dristhi\, a multi-source int
 eractive analysis framework that empowers users to visualize I/O traces\, 
 identify bottlenecks\, and gain a deeper understanding of application beha
 vior. By combining cross-layer analysis with heuristic-based automatic det
 ection\, Dristhi provides actionable insights and recommendations to overc
 ome common I/O performance bottlenecks. This talk will delve into the desi
 gn and capabilities of Dristhi\, demonstrate its use in pinpointing I/O pe
 rformance issues\, and highlight upcoming features that will further enhan
 ce its functionality.\n\nhttps://events.chpc.ac.za/event/139/contributions
 /2424/
LOCATION:Boardwalk Convention Centre BICC.G-D1 - D1 Tsitsikamma
URL:https://events.chpc.ac.za/event/139/contributions/2424/
END:VEVENT
BEGIN:VEVENT
SUMMARY:® XIO: Towards eXplainable I/O using multi-layer monitoring solut
 ion for HPC Systems.
DTSTART;VALUE=DATE-TIME:20241203T143000Z
DTEND;VALUE=DATE-TIME:20241203T145000Z
DTSTAMP;VALUE=DATE-TIME:20260310T183652Z
UID:indico-contribution-653-2413@events.chpc.ac.za
DESCRIPTION:Speakers: Hari Hariharan Devarajan (LLNL)\nModern HPC workload
 s exchange vast amounts of data to drive scientific discoveries While HPC 
 systems employ diverse storage devices and tiers to support efficient data
  access\, current monitoring infrastructures\, such as Darshan and Score-P
 \, only provide enough information to show what they see\, but lack the vi
 sibility needed to fully explain observed I/O performance.\n \nIn this tal
 k\, I will present our latest survey of state-of-the-art monitoring tools 
 deployed on modern HPC system using lists such as TOP500\, Green500\, IO50
 0\, and the Comprehensive Data Center List (CDCL). Then\, we will introduc
 e our latest efforts to tackle the opaque monitoring infrastructure that e
 xplores the user and kernel I/O stack to uncover causality relationships f
 or achieving eXplainable I/O (XIO).\n\nhttps://events.chpc.ac.za/event/139
 /contributions/2413/
LOCATION:Boardwalk Convention Centre BICC.G-D1 - D1 Tsitsikamma
URL:https://events.chpc.ac.za/event/139/contributions/2413/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Characterizing the I/O Performance of HPC Platforms Using the I/O 
 Performance Evaluation Suite
DTSTART;VALUE=DATE-TIME:20241203T135000Z
DTEND;VALUE=DATE-TIME:20241203T141000Z
DTSTAMP;VALUE=DATE-TIME:20260310T183652Z
UID:indico-contribution-653-2412@events.chpc.ac.za
DESCRIPTION:Speakers: Luan Teylo* (INRIA Bordeaux)\nThe I/O Performance Ev
 aluation Suite (IOPS)\, currently under development by the TADaaM team at 
 INRIA Bordeaux\, aims to streamline the performance analysis of I/O system
 s on HPC platforms. The primary objective of this tool is to automate the 
 performance evaluation process\, initially determining the optimal combina
 tion of parameters (such as the number of nodes\, processes\, file sizes\,
  and access patterns) that enable the system to achieve peak I/O performan
 ce. Moreover\, IOPS can also be used to examine how parameters of parallel
  file systems\, such as the number of Object Storage Targets\, affect syst
 em performance under distinct scenarios.\n\nhttps://events.chpc.ac.za/even
 t/139/contributions/2412/
LOCATION:Boardwalk Convention Centre BICC.G-D1 - D1 Tsitsikamma
URL:https://events.chpc.ac.za/event/139/contributions/2412/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Reducing Data Movement Through Derived Quantity Generation
DTSTART;VALUE=DATE-TIME:20241203T133000Z
DTEND;VALUE=DATE-TIME:20241203T135000Z
DTSTAMP;VALUE=DATE-TIME:20260310T183652Z
UID:indico-contribution-653-2411@events.chpc.ac.za
DESCRIPTION:Speakers: Jay Lofstead* (Sandia National Laboratories)\nLearni
 ng from scientific simulations often relies not on the raw quantities calc
 ulated\, but instead from derived values. For example\, air pressures in a
  weather simulation in isolation are not as interesting as the air pressur
 e gradient. If the gradients are roughly parallel\, you have straight-line
  winds. If the gradient is rotating around a point\, it is a cyclone storm
 . Other uses\, such as reducing from a complex multi-quantity 3D model int
 o a 2D representation for the actual value required for analysis can radic
 ally reduce data movement from the large computational system to the local
  analysis system. We have built tools that enable automatically calculatin
 g these derived quantities as part of normal simulation output to enable e
 xtracting the derived quantities for movement to a different machine and o
 ther purposes.\n\nhttps://events.chpc.ac.za/event/139/contributions/2411/
LOCATION:Boardwalk Convention Centre BICC.G-D1 - D1 Tsitsikamma
URL:https://events.chpc.ac.za/event/139/contributions/2411/
END:VEVENT
END:VCALENDAR
