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DTSTAMP:20260605T154541Z
LOCATION:Bldg. 8 - Room 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:Organizer(s): Nick Brown, Michèle Weiland, Adrian Jackson, and
  Rui Apóstolo (EPCC)\n\nThe rapid growth of AI models and AI-targeted hard
 ware is significantly impacting everyday life, but it is also creating opp
 ortunities for the HPC community to address its current challenges, like t
 he pressure to simulate larger, more complex problems while reducing time-
 to-solution, and requirements to improve the energy efficiency of both sys
 tems and software. This symposium will aim to explore how HPC can leverage
  AI advancements to tackle complex problems more efficiently and sustainab
 ly. The aim is to highlight promising AI developments and strategies to ma
 ximize benefits while avoiding overhyped pitfalls while using AI in tradit
 ional HPC workloads. The discussion includes AI's potential in enhancing n
 umerical 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. Additionally, the potential of Larg
 e Language Models (LLMs) to streamline HPC code development and optimizati
 on will be discussed, aiming to guide the HPC community in integrating AI 
 technologies effectively, emphasizing real-world applications and challeng
 es to advance their objectives.\n\nPanel\n\nThis panel will explore and un
 pack the themes raised during the mini-symposium and give the speakers an 
 opportunity to have a dialogue with the audience\n\n\nNick Brown (EPCC), M
 onica Morrison (NCAR), Rui Apóstolo (EPCC), Ben Shipway (Met Office), and 
 Ioana Colfescu (University of St Andrews)\n---------------------\nResponsi
 ble and Ethical AI in HPC: The Case for Epistemic Infrastructure\n\nThe HP
 C community is rapidly advancing AI capabilities, but technical maturity a
 lone is not sufficient for its use in Earth system science. Realizing AI's
  genuine potential to evolve scientific methods and knowledge requires bui
 lding epistemic infrastructure in parallel: the frameworks and practices..
 .\n\n\nMonica Morrison (NSF NCAR)\n---------------------\nLeveraging AI fo
 r Scientific Simulation at the UK National Supercomputing Centre\n\ntbd\n\
 n\nNick Brown (EPCC)\n---------------------\nBlended Modelling 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 p
 rediction offers transformative opportunities in computational cost, scala
 bility, and agility, but also raises challenges around trust, robustness, 
 and integration with established modelling systems. In the near to medium 
 term, we...\n\n\nBen Shipway (Met Office)\n\nDomain: Computational Methods
  and Applied Mathematics\n\nSession Chairs: Nick Brown (EPCC) and Rui Apos
 tolo (EPCC)
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