TIPP Donnerstag, 26.03.2026
HPC & AI - Competition or Collaboration
17:15 - 18:45 Uhr
HSB 6, Campus Technik, Technikerstaße 13, 6020 Innsbruck
Anmeldung ist nicht erforderlich
Eintritt / Kosten: Keine
Vortragende/r
Prof. Dr. Erwin Laure
Erwin Laure is the Director of the Max Planck Computing and Data Facility (MPCDF) of the MPG in Garching, Germany and Honorary Professor at the Technical University Munich. Before joining MPG he was Professor for High Performance Computing at KTH Stockholm and Director of the PDC Center for High Performance Computing there.His research interests include programming environments, languages, compilers and runtime systems for parallel and distributed computing, with a focus on exascale computing.
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Since Generative AI has become mainstream through Large Language Models like e.g. employed in ChatGPT or DeepSeek, AI is increasingly considered as a potential tool in scientific workflows. While classical AI is in mainstream use in image based research (e.g. for analyzing brain scans) for many years, other domains are still in the explorative phase. But this is changing at an enormous speed as e.g. exemplified by the recent announcement of ECMWF to use AI in their weather forecast. Yet, how far AI can replace classical simulations, is still subject to ongoing debates.
At the same time, AI has a profound impact on HPC hardware industry. Double precision, typically employed in scientific simulations, is not needed for AI and chip manufacturers start to reduce double precision capabilities in favour of low precision units. This is not surprising, given an AI market that is several orders of magnitudes large than the HPC one.
In this talk we review some of the impact AI has made in scientific computing, using examples from practical AI use within the Max Planck Society. We also review the impact, AI has on hardware industry and how this affects classical scientific computing. Whatever the future will bring: AI has come to stay and while it is a competition to classical HPC in some respect, those being able to effectively exploit AI capabilities will likely have a competitive advantage.
Veranstalter
FSP Scientific Computing, ESC - Exchange in Scientific Computing