CMS Computing Resources: Meeting the demands of the high-luminosity LHC physics program

Lange, David; Bloom, Kenneth; Boccali, Tommaso; Gutsche, Oliver; Vaandering, Eric

doi:10.1051/epjconf/201921403055

Title: CMS Computing Resources: Meeting the demands of the high-luminosity LHC physics program

Abstract

The high-luminosity program has seen numerous extrapolations of its needed computing resources that each indicate the need for substantial changes if the desired HL-LHC physics program is to be supported within the current level of computing resource budgets. Drivers include large increases in event complexity (leading to increased processing time and analysis data size) and trigger rates needed (5-10 fold increases) for the HL-LHC program. The CMS experiment has recently undertaken an effort to merge the ideas behind short-term and long-term resource models in order to make easier and more reliable extrapolations to future needs. Near term computing resource estimation requirements depend on numerous parameters: LHC uptime and beam intensities; detector and online trigger performance; software performance; analysis data requirements; data access, management, and retention policies; site characteristics; and network performance. Longer term modeling is affected by the same characteristics, but with much larger uncertainties that must be considered to understand the most interesting handles for increasing the "physics per computing dollar" of the HL-LHC. In this presentation, we discuss the current status of long term modeling of the CMS computing resource needs for HL-LHC with emphasis on techniques for extrapolations, uncertainty quantification, and model results. We illustrate potential waysmore »« less

Authors:

Lange, David ^[1];

^[2];

^[3];

^[4];

^[4]

Princeton Univ., NJ (United States). Dept. of Physics
Univ. of Nebraska, Lincoln, NE (United States). Dept. of Physics
Univ. di Pisa, Pisa (Italy)
Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)

Publication Date:: Tue Sep 17 00:00:00 EDT 2019

Research Org.:: Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)

Sponsoring Org.:: USDOE Office of Science (SC), High Energy Physics (HEP)

OSTI Identifier:: 1574963

Report Number(s):: FERMILAB-CONF-19-552-SCD
Journal ID: ISSN 2100-014X; oai:inspirehep.net:1760952; TRN: US2001154

Grant/Contract Number:: AC02-07CH11359

Resource Type:: Accepted Manuscript

Journal Name:: EPJ Web of Conferences

Additional Journal Information:: Journal Volume: 214; Conference: 23. International Conference on Computing in High Energy and Nuclear Physics, Sofia, Bulgaria, 9-13 Jul 2018; Journal ID: ISSN 2100-014X

Publisher:: EDP Sciences

Country of Publication:: United States

Language:: English

Subject:: 97 MATHEMATICS AND COMPUTING

Citation Formats


                    Lange, David, Bloom, Kenneth, Boccali, Tommaso, Gutsche, Oliver, and Vaandering, Eric. CMS Computing Resources: Meeting the demands of the high-luminosity LHC physics program.  United States: N. p., 2019. 
Web.  doi:10.1051/epjconf/201921403055.

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                    Lange, David, Bloom, Kenneth, Boccali, Tommaso, Gutsche, Oliver, & Vaandering, Eric. CMS Computing Resources: Meeting the demands of the high-luminosity LHC physics program.  United States.  https://doi.org/10.1051/epjconf/201921403055

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                    Lange, David, Bloom, Kenneth, Boccali, Tommaso, Gutsche, Oliver, and Vaandering, Eric. Tue .  
"CMS Computing Resources: Meeting the demands of the high-luminosity LHC physics program".  United States.  https://doi.org/10.1051/epjconf/201921403055.  https://www.osti.gov/servlets/purl/1574963.

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@article{osti_1574963,

  title        = {CMS Computing Resources: Meeting the demands of the high-luminosity LHC physics program},

  author       = {Lange, David and Bloom, Kenneth and Boccali, Tommaso and Gutsche, Oliver and Vaandering, Eric},

  abstractNote = {The high-luminosity program has seen numerous extrapolations of its needed computing resources that each indicate the need for substantial changes if the desired HL-LHC physics program is to be supported within the current level of computing resource budgets. Drivers include large increases in event complexity (leading to increased processing time and analysis data size) and trigger rates needed (5-10 fold increases) for the HL-LHC program. The CMS experiment has recently undertaken an effort to merge the ideas behind short-term and long-term resource models in order to make easier and more reliable extrapolations to future needs. Near term computing resource estimation requirements depend on numerous parameters: LHC uptime and beam intensities; detector and online trigger performance; software performance; analysis data requirements; data access, management, and retention policies; site characteristics; and network performance. Longer term modeling is affected by the same characteristics, but with much larger uncertainties that must be considered to understand the most interesting handles for increasing the "physics per computing dollar" of the HL-LHC. In this presentation, we discuss the current status of long term modeling of the CMS computing resource needs for HL-LHC with emphasis on techniques for extrapolations, uncertainty quantification, and model results. We illustrate potential ways that high-luminosity CMS could accomplish its desired physics program within today's computing budgets.},

  doi          = {10.1051/epjconf/201921403055},

  journal      = {EPJ Web of Conferences},

  number       = ,

  volume       = 214,

  place        = {United States},

  year         = {Tue Sep 17 00:00:00 EDT 2019},

  month        = {Tue Sep 17 00:00:00 EDT 2019}

}

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Works referenced in this record:

LHC Machine
journal, August 2008

Evans, Lyndon; Bryant, Philip
Journal of Instrumentation, Vol. 3, Issue 08
DOI: 10.1088/1748-0221/3/08/S08001

Matplotlib: A 2D Graphics Environment
journal, January 2007

Hunter, John D.
Computing in Science & Engineering, Vol. 9, Issue 3
DOI: 10.1109/MCSE.2007.55

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