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DTSTART;TZID=America/Denver:20231112T094600
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UID:submissions.supercomputing.org_SC23_sess420_ws_ss107@linklings.com
SUMMARY:Accurate Measurement of Application-Level Energy Consumption for E
 nergy-Aware Large-Scale Simulations
DESCRIPTION:Osman Seckin Simsek (University of Basel), Jean-Guillaume Picc
 inali (Swiss National Supercomputing Centre (CSCS)), and Florina Ciorba (U
 niversity of Basel)\n\nSustainability in HPC is a major challenge not only
  for HPC centers and their users, but also for society.  A lot of effort w
 ent into reducing the energy consumption of systems, but most efforts prop
 ose solutions targeting CPUs.  As HPC systems shift more to GPU-centric ar
 chitectures, simulation codes increasingly adopt GPU-programming models, l
 eading to an urgent need to increase the energy-efficiency of GPU-enabled 
 codes.  However, studies for reducing the energy consumption of large-scal
 e simulations executing on CPUs and GPUs have received insufficient attent
 ion.\n\nIn this work, we enable accurate energy measurements using an open
 -source toolkit across CPU+GPU architectures.  We use this approach in SPH
 -EXA, an open-source GPU-centric astrophysical and cosmological simulation
  framework showing that with code instrumentation, users can accurately me
 asure energy consumption of their application, beyond the data provided by
  HPC systems.  The accurate energy data provide significant insights to us
 ers for conducting energy-aware computational experiments and code develop
 ment.\n\nTag: Energy Efficiency, Green Computing, Sustainability\n\nRegist
 ration Category: Workshop Reg Pass\n\nSession Chairs: Kimmo Koski (CSC – I
 T Center for Science Ltd, Finland); James H. Rogers (Oak Ridge National La
 boratory (ORNL)); Fumiyoshi Shoji (RIKEN Center for Computational Science 
 (R-CCS), Center for Computational Science); William W. Thigpen (NASA); Mic
 hèle Weiland (EPCC, The University of Edinburgh; The University of Edinbur
 gh); and Mike Woodacre (Hewlett Packard Enterprise (HPE))\n\n
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