Current and Future Performance of the CMS Simulation

Pedro, Kevin

doi:10.1051/epjconf/201921402036

Title: Current and Future Performance of the CMS Simulation

Abstract

The CMS full simulation using Geant4 has delivered billions of simulated events for analysis during Runs 1 and 2 of the LHC. However, the HL-LHC dataset will be an order of magnitude larger, with a similar increase in occupancy per event. In addition, the upgraded CMS detector will be considerably more complex, with an extended silicon tracker and a high granularity calorimeter in the endcap region. Increases in conventional computing resources are subject to both technological and budgetary limitations, so novel approaches are needed to improve software efficiency and to take advantage of new architectures and heterogeneous resources. Several projects are in development to address these needs, including the vectorized geometry library Vec-Geom and the GeantV transport engine, which uses track-level parallelization. The current computing performance of the CMS simulation will be presented as a baseline, along with an overview of the various optimizations already available for Geant4. Finally, the progress and outlook for integrating VecGeom and GeantV in the CMS software framework will be discussed.

Authors:

Pedro, Kevin ^[1]

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)

Contributing Org.:: CERN-LHC-CMS

OSTI Identifier:: 1571818

Report Number(s):: FERMILAB-CONF-18-784-SCD
Journal ID: ISSN 2100-014X; oai:inspirehep.net:1760575; TRN: US2001151

Grant/Contract Number:: AC02-07CH11359

Resource Type:: Accepted Manuscript

Journal Name:: EPJ Web of Conferences

Additional Journal Information:: Journal Volume: 214; Journal ID: ISSN 2100-014X

Publisher:: EDP Sciences

Country of Publication:: United States

Language:: English

Subject:: 72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS

Citation Formats


                    Pedro, Kevin. Current and Future Performance of the CMS Simulation.  United States: N. p., 2019. 
Web.  doi:10.1051/epjconf/201921402036.

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                    Pedro, Kevin. Current and Future Performance of the CMS Simulation.  United States.  https://doi.org/10.1051/epjconf/201921402036

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                    Pedro, Kevin. Tue .  
"Current and Future Performance of the CMS Simulation".  United States.  https://doi.org/10.1051/epjconf/201921402036.  https://www.osti.gov/servlets/purl/1571818.

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@article{osti_1571818,

  title        = {Current and Future Performance of the CMS Simulation},

  author       = {Pedro, Kevin},

  abstractNote = {The CMS full simulation using Geant4 has delivered billions of simulated events for analysis during Runs 1 and 2 of the LHC. However, the HL-LHC dataset will be an order of magnitude larger, with a similar increase in occupancy per event. In addition, the upgraded CMS detector will be considerably more complex, with an extended silicon tracker and a high granularity calorimeter in the endcap region. Increases in conventional computing resources are subject to both technological and budgetary limitations, so novel approaches are needed to improve software efficiency and to take advantage of new architectures and heterogeneous resources. Several projects are in development to address these needs, including the vectorized geometry library Vec-Geom and the GeantV transport engine, which uses track-level parallelization. The current computing performance of the CMS simulation will be presented as a baseline, along with an overview of the various optimizations already available for Geant4. Finally, the progress and outlook for integrating VecGeom and GeantV in the CMS software framework will be discussed.},

  doi          = {10.1051/epjconf/201921402036},

  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}

}

Copy to clipboard

Journal Article:

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Works referenced in this record:

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Agostinelli, S.; Allison, J.; Amako, K.
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Apostolakis, J.; Bandieramonte, M.; Bitzes, G.
Journal of Physics: Conference Series, Vol. 608
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Similar Records

Title: Current and Future Performance of the CMS Simulation

Abstract

Citation Formats

Geant4—a simulation toolkit journal, July 2003

Upgrades for the CMS simulation journal, October 2017

Recent developments in Geant4 journal, November 2016

The HepMC C++ Monte Carlo event record for High Energy Physics journal, February 2001

CMS event processing multi-core efficiency status journal, October 2017

Benchmarking high performance computing architectures with CMS’ skeleton framework journal, October 2017

An introduction to PYTHIA 8.2 journal, June 2015

The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations journal, July 2014

ROOT — An object oriented data analysis framework journal, April 1997

Upgrades for the CMS simulation journal, May 2015

Towards a high performance geometry library for particle-detector simulations journal, May 2015

Geant4—a simulation toolkit
journal, July 2003

Upgrades for the CMS simulation
journal, October 2017

Recent developments in Geant4
journal, November 2016

The HepMC C++ Monte Carlo event record for High Energy Physics
journal, February 2001

CMS event processing multi-core efficiency status
journal, October 2017

Benchmarking high performance computing architectures with CMS’ skeleton framework
journal, October 2017

An introduction to PYTHIA 8.2
journal, June 2015

The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations
journal, July 2014

ROOT — An object oriented data analysis framework
journal, April 1997

Upgrades for the CMS simulation
journal, May 2015

Towards a high performance geometry library for particle-detector simulations
journal, May 2015