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SUMMARY:Accelerating HPC+AI science workflows using NVIDIA GPU
DTSTART;VALUE=DATE-TIME:20201130T131500Z
DTEND;VALUE=DATE-TIME:20201130T134500Z
DTSTAMP;VALUE=DATE-TIME:20260812T205635Z
UID:indico-contribution-1318@events.chpc.ac.za
DESCRIPTION:Speakers: Gunter  Röth (NVIDIA SA)\nNVIDIA has early identifi
 ed the promising HPC – AI convergence trend and has been working on enab
 ling it. The growing adoption of NVIDIA Ampere GPU by the Top 500 Supercom
 puters highlights the need of computing acceleration for this HPC & AI con
 vergence. Many projects today demonstrate the benefit of AI for HPC\, in t
 erms of accuracy and time to solution\, in many domains such as Computatio
 nal Mechanics (Computational Fluid Mechanics\, Solid Mechanics…)\, Earth
  Sciences (Climate\, Weather and Ocean Modelling)\, Life Sciences (Genomic
 s\, Proteomics…)\, Computational Chemistry (Quantum Chemistry\, Molecula
 r Dynamics…)\, Computational Physics. NVIDIA today for instance\, uses P
 hysics Informed Neural Networks for the heat sink design in our DGX system
 .\n\nhttps://events.chpc.ac.za/event/84/contributions/1318/
LOCATION:
URL:https://events.chpc.ac.za/event/84/contributions/1318/
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