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Title: HPC resource integration into CMS Computing via HEPCloud

Abstract

The higher energy and luminosity from the LHC in Run 2 have put increased pressure on CMS computing resources. Extrapolating to even higher luminosities (and thus higher event complexities and trigger rates) beyond Run 3, it becomes clear that simply scaling up the the current model of CMS computing alone will become economically unfeasible. High Performance Computing (HPC) facilities, widely used in scientific computing outside of HEP, have the potential to help fill the gap. Here we describe the U.S.CMS eorts to integrate US HPC resources into CMS Computing via the HEPCloud project at Fermilab. We present advancements in our ability to use NERSC resources at scale and eorts to integrate other HPC sites as well. We present experience in the elastic use of HPC resources, quickly scaling up use when so required by CMS workflows. We also present performance studies of the CMS multi-threaded framework on both Haswell and KNL HPC resources.

Authors:
ORCiD logo [1]
  1. Fermilab
Publication Date:
Research Org.:
Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
Contributing Org.:
CMS CERN-LHC
OSTI Identifier:
1497404
Report Number(s):
FERMILAB-CONF-18-630-CD
1722477
DOE Contract Number:  
AC02-07CH11359
Resource Type:
Conference
Resource Relation:
Conference: 23rd International Conference on Computing in High Energy and Nuclear Physics, Sofia, Bulgaria, 07/09-07/13/2018
Country of Publication:
United States
Language:
English

Citation Formats

Hufnagel, Dirk. HPC resource integration into CMS Computing via HEPCloud. United States: N. p., 2018. Web.
Hufnagel, Dirk. HPC resource integration into CMS Computing via HEPCloud. United States.
Hufnagel, Dirk. Thu . "HPC resource integration into CMS Computing via HEPCloud". United States. https://www.osti.gov/servlets/purl/1497404.
@article{osti_1497404,
title = {HPC resource integration into CMS Computing via HEPCloud},
author = {Hufnagel, Dirk},
abstractNote = {The higher energy and luminosity from the LHC in Run 2 have put increased pressure on CMS computing resources. Extrapolating to even higher luminosities (and thus higher event complexities and trigger rates) beyond Run 3, it becomes clear that simply scaling up the the current model of CMS computing alone will become economically unfeasible. High Performance Computing (HPC) facilities, widely used in scientific computing outside of HEP, have the potential to help fill the gap. Here we describe the U.S.CMS eorts to integrate US HPC resources into CMS Computing via the HEPCloud project at Fermilab. We present advancements in our ability to use NERSC resources at scale and eorts to integrate other HPC sites as well. We present experience in the elastic use of HPC resources, quickly scaling up use when so required by CMS workflows. We also present performance studies of the CMS multi-threaded framework on both Haswell and KNL HPC resources.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {11}
}

Conference:
Other availability
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