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DTSTART;TZID=America/Chicago:20251116T153000
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UID:submissions.supercomputing.org_SC25_sess204_ws_ss104@linklings.com
SUMMARY:Improving Supercomputer Usage with Aging Awareness
DESCRIPTION:Robin Boezennec (Inria Rennes); Fanny Dufossé (Université Gren
 oble Alpes, INRIA, CNRS, Grenoble INP); Guillaume Pallez (Inria Rennes); a
 nd Alix Tremodeux (ENS de Lyon)\n\nLifetime of electronic devices has a cr
 itical impact on their environmental footprint. In addition, the high-dema
 nd by AI companies of GPU has reduced tremendously their availability for 
 supercomputing centers. Consequently, improving the duration of CPUs and G
 PUs is becoming a major issue in High Performance Computing (HPC) domain.\
 n\nThis paper investigates the optimization of a machine usage before a fa
 tal failure and the trade-offs with performance. The lifetime of computing
  devices is strongly connected with the temperature and thus with the runn
 ing frequency. We investigate the node frequency reconfiguration to optimi
 ze HPC usage. We estimate the benefit of a dedicated scheduling algorithm 
 compared with a constant frequency.\n\nWe show that a correct decision can
  increase considerably the number of FLOP of a machine with a trade-off in
  terms of performance. Because aging models are currently inaccurate, we c
 onsider different models and discuss the robustness of our algorithms to i
 naccuracy.\n\nRecording: Livestreamed, Recorded\n\nRegistration Category: 
 Technical Program Reg Pass, Workshop Reg Pass\n\nSession Chairs: Mike Wood
 acre (Hewlett Packard Enterprise (HPE)); Michèle Weiland (EPCC, The Univer
 sity of Edinburgh; The University of Edinburgh); Fumiyoshi Shoji (RIKEN Ce
 nter for Computational Science (R-CCS), Center for Computational Science);
  Pekka Manninen (CSC - IT Center for Science; University of Helsinki, Finl
 and); James H. Rogers (Oak Ridge National Laboratory (ORNL)); and Cate Ber
 ard (US Department of Energy)\n\n
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