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DTSTAMP:20260421T090513Z
LOCATION:Bldg. 6 - Room 102
DTSTART;TZID=Europe/Stockholm:20260629T133000
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UID:submissions.pasc-conference.org_PASC26_sess106_msa142@linklings.com
SUMMARY:Modelling the Environmental Footprint of Future AI and HPC Datacen
 ters: Enabling Hardware-Software Codesign Including Life Cycle Assessment
DESCRIPTION:Nitish Satya Murthy, Vincent Schellekens, and Timon Evenblij (
 IMEC)\n\nArtificial intelligence (AI) has emerged as a pivotal force shapi
 ng the future of scientific discovery and technological innovation in day-
 to-day life. It has become a key enabler for future scientific research an
 d development of new applications. As data centers dedicated to these work
 loads experience rapid growth, they face mounting challenges in balancing 
 performance demands with sustainability goals. The dynamic evolution of AI
  applications—coupled with the lengthy timelines for hardware deployment—u
 nderscores the critical need for comprehensive, forward-looking analysis d
 uring the earliest stages of data center design. \nThe need to include sus
 tainability evaluation in this early design space exploration becomes incr
 easingly stringent, next to more traditional metrics like performance, pow
 er and cost. This need comes on top of existing challenges like evaluation
  speed, accuracy, and scope of future hardware technologies and software a
 dvancements.\nIn this talk, we aim to continue the discussion on sustainab
 le AI and HPC, by integrating life cycle assessments, based on imec.netzer
 o, in an early design space exploration tool, based on imec.kelis, enablin
 g hardware–software co-design guidance for sustainable AI/HPC systems.\n\n
 Domain: Engineering, Computational Methods and Applied Mathematics\n\nSess
 ion Chairs: Denisa-Andreea Constantinescu (EPFL), Florina Ciorba (Universi
 ty of Basel), and Can Hankendi (Boston University)\n\n
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