BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Europe/Stockholm
X-LIC-LOCATION:Europe/Stockholm
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260421T090512Z
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:The rapid growth of AI models and AI-targeted hardware is sign
 ificantly impacting everyday life, but it is also creating opportunities f
 or the HPC community to address its current challenges, like the pressure 
 to simulate larger, more complex problems while reducing time-to-solution,
  and requirements to improve the energy efficiency of both systems and sof
 tware. This symposium will aim to explore how HPC can leverage AI advancem
 ents to tackle complex problems more efficiently and sustainably. The aim 
 is to highlight promising AI developments and strategies to maximize benef
 its while avoiding overhyped pitfalls while using AI in traditional HPC wo
 rkloads. The discussion includes AI's potential in enhancing numerical met
 hods, 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 int
 o efficiency improvements. Additionally, the potential of Large Language M
 odels (LLMs) to streamline HPC code development and optimization will be d
 iscussed, aiming to guide the HPC community in integrating AI technologies
  effectively, emphasizing real-world applications and challenges to advanc
 e their objectives.\n\nPanel\n\nThis panel will explore and unpack the the
 mes raised during the mini-symposium and give the speakers an opportunity 
 to have a dialogue with the audience\n\n\nNick Brown (EPCC), Monica Morris
 on (NCAR), Rui Apóstolo (EPCC), Ben Shipway (Met Office), and Ioana Colfes
 cu (University of St Andrews)\n---------------------\nBlended Modelling fo
 r Weather and Climate Prediction: A Framework Bridging AI and Physics-Base
 d Systems\n\nThe rapid emergence of machine learning (ML) for weather and 
 climate prediction offers transformative opportunities in computational co
 st, scalability, and agility, but also raises challenges around trust, rob
 ustness, and integration with established modelling systems. In the near t
 o medium term, we...\n\n\nBen Shipway (Met Office)\n---------------------\
 nEnergy-Adjusted Skill Score: A Community Roadmap for Energy-Aware Earth S
 ystem Science\n\nEarth system modelling has long optimised for predictive 
 skill alone, treating computational energy as an invisible cost. Model gen
 erations improved the performance index by roughly 70% from CMIP1 to CMIP6
 , yet energy consumption per unit of scientific output grew by more than t
 wo orders of magnitud...\n\n\nIoana Colfescu (University of St Andrews, Na
 tional Centre for Atmospheric Science); Kara Moraw (University of Edinburg
 h); Chen Lu (University of St Andrews, National Centre for Atmospheric Sci
 ence); and Michael Bareford (University of Edinburgh)\n\nDomain: Computati
 onal Methods and Applied Mathematics\n\nSession Chairs: Nick Brown (EPCC);
  Michele Weiland (EPCC, The  University of Edinburgh); Adrian Jackson (The
  University of Edinburgh); and Rui Apostolo (EPCC)
END:VEVENT
END:VCALENDAR