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LOCATION:B312
DTSTART;TZID=America/New_York:20241117T155000
DTEND;TZID=America/New_York:20241117T161000
UID:submissions.supercomputing.org_SC24_sess739_ws_ss102@linklings.com
SUMMARY:CEEMS: A Resource Manager Agnostic Energy and Emissions Monitoring
  Stack
DESCRIPTION:Mahendra Paipuri (CNRS)\n\nCompute Energy & Emissions Monitori
 ng Stack (CEEMS) has been designed to report energy usage of compute workl
 oads in real time for HPC and cloud platforms alike. Besides CPU energy us
 age, it supports reporting energy usage of workloads on NVIDIA and AMD GPU
  accelerators. CEEMS has been built around the prominent open-source tools
  like Prometheus and Grafana. This paper explains the architectural overvi
 ew of CEEMS, data sources that are used to measure energy usage and estima
 te equivalent emissions and potential use cases of CEEMS from operator and
  user perspectives. Finally, the paper will conclude by describing how CEE
 MS deployment on the Jean-Zay supercomputing platform is capable of monito
 ring more than 1400 nodes that have a daily job churn rate of around 20k j
 obs.\n\nTag: Energy Efficiency, HPC Infrastructure, Sustainability\n\nRegi
 stration Category: Workshop Reg Pass\n\nSession Chairs: Cate Berard (US De
 partment of Energy); James H. Rogers (Oak Ridge National Laboratory (ORNL)
 ); Fumiyoshi Shoji (RIKEN Center for Computational Science (R-CCS), Center
  for Computational Science); Michèle Weiland (EPCC, The University of Edin
 burgh; The University of Edinburgh); and Mike Woodacre (Hewlett Packard En
 terprise (HPE))\n\n
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