Abstract

The higher energy and luminosity from the LHC in Run2 has put increased pressure on CMS computing resources. Extrapolating to even higher luminosities (and thus higher event complexities and trigger rates) in Run3 and beyond, it becomes clear the current model of CMS computing alone will not scale accordingly. High Performance Computing (HPC) facilities, widely used in scientific computing outside of HEP, present a (at least so far) largely untapped computing resource for CMS. Even just being able use a small fraction of HPC facilities computing resources could significantly increase the overall computing available to CMS. Here we describe the CMS strategy for integrating HPC resources into CMS computing, the unique challenges these facilities present, and how we plan on overcoming these challenges. We also present the current status of ongoing CMS efforts at HPC sites such as NERSC (Cori cluster), SDSC (Comet cluster) and TACC (Stampede cluster).

Highlights

  • Related content- Bringing ATLAS production to High Performance Computing (HPC) resources - A use case with the Hydra supercomputer of the Max Planck Society J A Kennedy, S Kluth, L Mazzaferro et al

  • The CMS (Compact Muon Solenoid) experiment is a general purpose particle physics detector at the LHC (Large Hadron Collider) at CERN [1]

  • Even just being able use a small fraction of High Performance Computing (HPC) facilities computing resources could significantly increase the overall computing available to CMS

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Summary

Related content

- Bringing ATLAS production to HPC resources - A use case with the Hydra supercomputer of the Max Planck Society J A Kennedy, S Kluth, L Mazzaferro et al. - SCEAPI: A unified Restful Web API for High-Performance Computing Cao Rongqiang, Xiao Haili, Lu Shasha et al. - Recent Standard Model results from CMS Simon de Visscher and CMS collaboration. Dirk Hufnagel (on behalf of the CMS Collaboration) Fermilab, P.O. Box 500, Batavia, IL 60510-5011, USA

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Published under licence by IOP Publishing Ltd
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