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DTSTAMP:20260724T151407Z
LOCATION:Bldg. 8 - B 102
DTSTART;TZID=Europe/Stockholm:20260630T134500
DTEND;TZID=Europe/Stockholm:20260630T154500
UID:submissions.pasc-conference.org_PASC26_sess148@linklings.com
SUMMARY:MS3H - AI: A Panacea or False Promise for Addressing HPC’s Grand C
 hallenges?
DESCRIPTION:Access the recording\n\nOrganizer(s): Nick Brown, Michèle Weil
 and, Adrian Jackson, and Rui Apóstolo (EPCC)\n\nThe rapid growth of AI mod
 els and AI-targeted hardware is significantly impacting everyday life, but
  it is also creating opportunities for the HPC community to address its cu
 rrent challenges, like the pressure to simulate larger, more complex probl
 ems while reducing time-to-solution, and requirements to improve the energ
 y efficiency of both systems and software. This symposium will aim to expl
 ore how HPC can leverage AI advancements to tackle complex problems more e
 fficiently and sustainably. The aim is to highlight promising AI developme
 nts and strategies to maximize benefits while avoiding overhyped pitfalls 
 while using AI in traditional HPC workloads. The discussion includes AI's 
 potential in enhancing numerical methods, as well as the adaptation of AI-
 focused hardware for HPC workloads, as well as AI's role in optimizing HPC
  data centres, offering insights into efficiency improvements. Additionall
 y, the potential of Large Language Models (LLMs) to streamline HPC code de
 velopment and optimization will be discussed, aiming to guide the HPC comm
 unity in integrating AI technologies effectively, emphasizing real-world a
 pplications and challenges to advance their objectives.\n\nBlended Modelli
 ng for Weather and Climate Prediction: A Framework Bridging AI and Physics
 -Based Systems\n\nThe rapid emergence of machine learning (ML) for weather
  and climate prediction offers transformative opportunities in computation
 al cost, scalability, and agility, but also raises challenges around trust
 , robustness, and integration with established modelling systems. In the n
 ear to medium term, we...\n\n\nBen Shipway (Met Office)\n-----------------
 ----\nResponsible and Ethical AI in HPC: The Case for Epistemic Infrastruc
 ture\n\nThe HPC community is rapidly advancing AI capabilities, but techni
 cal maturity alone is not sufficient for its use in Earth system science. 
 Realizing AI's genuine potential to evolve scientific methods and knowledg
 e requires building epistemic infrastructure in parallel: the frameworks a
 nd practices...\n\n\nMonica Morrison (NSF NCAR)\n---------------------\nLe
 veraging AI for Scientific Simulation at the UK National Supercomputing Ce
 ntre\n\ntbd\n\n\nNick Brown (EPCC)\n---------------------\nPanel\n\nThis p
 anel will explore and unpack the themes raised during the mini-symposium a
 nd give the speakers an opportunity to have a dialogue with the audience\n
 \n\nNick Brown (EPCC), Monica Morrison (NCAR), Rui Apóstolo (EPCC), Ben Sh
 ipway (Met Office), and Ioana Colfescu (University of St Andrews)\n\nDomai
 n: Computational Methods and Applied Mathematics\n\nSession Chairs: Nick B
 rown (EPCC) and Rui Apostolo (EPCC)
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