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DTSTART:19700308T020000
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DTSTAMP:20260202T201804Z
LOCATION:264
DTSTART;TZID=America/Chicago:20251116T170000
DTEND;TZID=America/Chicago:20251116T171500
UID:submissions.supercomputing.org_SC25_sess204_ws_ss114@linklings.com
SUMMARY:Modeling the Carbon Footprint of HPC: The Top 500 and EasyC
DESCRIPTION:Varsha Rao and Andrew A. Chien (University of Chicago)\n\nClim
 ate change is a critical concern for HPC systems, but GHG protocol carbon-
 emission accounting methodologies are difficult for a single system, and e
 ffectively infeasible for a collections of systems.\nAs a result, there is
  no HPC-wide carbon reporting, and even the largest HPC sites do not do it
 .\nWe assess the carbon footprint of HPC, focusing on the Top 500 systems.
   The key challenge is modeling carbon footprint with limited data availab
 ility. \nWith the disclosed Top500.org data, and using EasyC tool, we were
  able to model operational carbon of 391 HPC systems and embodied carbon o
 f 283 systems. This coverage can be further enhanced by public information
 , then interpolation is used to produce the first carbon footprint estimat
 es of the Top 500 HPC systems (1.4 million MT CO2e operational carbon and 
 1.9 million MT CO2e embodied carbon).  We also project how the Top 500's c
 arbon footprint will increase through 2030.\n\nRecording: Livestreamed, Re
 corded\n\nRegistration Category: Technical Program Reg Pass, Workshop Reg 
 Pass\n\nSession Chairs: Mike Woodacre (Hewlett Packard Enterprise (HPE)); 
 Michèle Weiland (EPCC, The University of Edinburgh; The University of Edin
 burgh); Fumiyoshi Shoji (RIKEN Center for Computational Science (R-CCS), C
 enter for Computational Science); Pekka Manninen (CSC - IT Center for Scie
 nce; University of Helsinki, Finland); James H. Rogers (Oak Ridge National
  Laboratory (ORNL)); and Cate Berard (US Department of Energy)\n\n
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