Loading…

Current and Future Performance of the CMS Simulation

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 m...

Full description

Saved in:
Bibliographic Details
Published in:EPJ Web of conferences 2019-01, Vol.214, p.2036
Main Author: Pedro, Kevin
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c384t-66510a0951e42985bcd3782e13d2f6ab5f137e0f08e41f825e4fb7b70fcba0223
cites cdi_FETCH-LOGICAL-c384t-66510a0951e42985bcd3782e13d2f6ab5f137e0f08e41f825e4fb7b70fcba0223
container_end_page
container_issue
container_start_page 2036
container_title EPJ Web of conferences
container_volume 214
creator Pedro, Kevin
description 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_str_mv 10.1051/epjconf/201921402036
format article
fullrecord <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_8acadb8ba71644099a43a1e6db8bb19b</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_8acadb8ba71644099a43a1e6db8bb19b</doaj_id><sourcerecordid>2297142373</sourcerecordid><originalsourceid>FETCH-LOGICAL-c384t-66510a0951e42985bcd3782e13d2f6ab5f137e0f08e41f825e4fb7b70fcba0223</originalsourceid><addsrcrecordid>eNpNkU9LxDAQxYsouOh-Aw9Fz-vOJGmbHGXxHygKKngLSTpxW3abNU0Pfnu7VsS5zPD48ZiZl2VnCJcIBS5p17rQ-SUDVAwFMODlQTZjCLAAFO-H_-bjbN73LYzFleJFOcvEaoiRupSbrs5vhjREyp8p-hC3pnOUB5-nNeWrx5f8pdkOG5Oa0J1mR95sepr_9pPs7eb6dXW3eHi6vV9dPSwclyItyrJAMKAKJMGULKyreSUZIa-ZL40tPPKKwIMkgV6ygoS3la3AO2uAMX6S3U--dTCt3sVma-KXDqbRP0KIH9rE1LgNaWmcqa20psJSCFDKCG6Qyr1mUdnR63zyCn1qdO-aRG49Pq4jlzQWFUqUI3QxQbsYPgfqk27DELvxRs2YqlAwXvGREhPlYuj7SP5vNQS9z0T_ZqL_Z8K_AX-xfmA</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2297142373</pqid></control><display><type>article</type><title>Current and Future Performance of the CMS Simulation</title><source>Publicly Available Content Database</source><source>Free Full-Text Journals in Chemistry</source><creator>Pedro, Kevin</creator><contributor>Hristov, P. ; Smirnova, O. ; Betev, L. ; Forti, A. ; Litmaath, M.</contributor><creatorcontrib>Pedro, Kevin ; Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States) ; Hristov, P. ; Smirnova, O. ; Betev, L. ; Forti, A. ; Litmaath, M.</creatorcontrib><description>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.</description><identifier>ISSN: 2100-014X</identifier><identifier>ISSN: 2101-6275</identifier><identifier>EISSN: 2100-014X</identifier><identifier>DOI: 10.1051/epjconf/201921402036</identifier><language>eng</language><publisher>Les Ulis: EDP Sciences</publisher><subject>Computation ; Computer simulation ; Occupancy ; Parallel processing ; PHYSICS OF ELEMENTARY PARTICLES AND FIELDS ; Software</subject><ispartof>EPJ Web of conferences, 2019-01, Vol.214, p.2036</ispartof><rights>2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c384t-66510a0951e42985bcd3782e13d2f6ab5f137e0f08e41f825e4fb7b70fcba0223</citedby><cites>FETCH-LOGICAL-c384t-66510a0951e42985bcd3782e13d2f6ab5f137e0f08e41f825e4fb7b70fcba0223</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2297142373?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,309,310,314,776,780,785,786,881,23909,23910,25118,25731,27901,27902,36989,44566</link.rule.ids><backlink>$$Uhttps://www.osti.gov/servlets/purl/1571818$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><contributor>Hristov, P.</contributor><contributor>Smirnova, O.</contributor><contributor>Betev, L.</contributor><contributor>Forti, A.</contributor><contributor>Litmaath, M.</contributor><creatorcontrib>Pedro, Kevin</creatorcontrib><creatorcontrib>Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)</creatorcontrib><title>Current and Future Performance of the CMS Simulation</title><title>EPJ Web of conferences</title><description>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.</description><subject>Computation</subject><subject>Computer simulation</subject><subject>Occupancy</subject><subject>Parallel processing</subject><subject>PHYSICS OF ELEMENTARY PARTICLES AND FIELDS</subject><subject>Software</subject><issn>2100-014X</issn><issn>2101-6275</issn><issn>2100-014X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpNkU9LxDAQxYsouOh-Aw9Fz-vOJGmbHGXxHygKKngLSTpxW3abNU0Pfnu7VsS5zPD48ZiZl2VnCJcIBS5p17rQ-SUDVAwFMODlQTZjCLAAFO-H_-bjbN73LYzFleJFOcvEaoiRupSbrs5vhjREyp8p-hC3pnOUB5-nNeWrx5f8pdkOG5Oa0J1mR95sepr_9pPs7eb6dXW3eHi6vV9dPSwclyItyrJAMKAKJMGULKyreSUZIa-ZL40tPPKKwIMkgV6ygoS3la3AO2uAMX6S3U--dTCt3sVma-KXDqbRP0KIH9rE1LgNaWmcqa20psJSCFDKCG6Qyr1mUdnR63zyCn1qdO-aRG49Pq4jlzQWFUqUI3QxQbsYPgfqk27DELvxRs2YqlAwXvGREhPlYuj7SP5vNQS9z0T_ZqL_Z8K_AX-xfmA</recordid><startdate>20190101</startdate><enddate>20190101</enddate><creator>Pedro, Kevin</creator><general>EDP Sciences</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>OIOZB</scope><scope>OTOTI</scope><scope>DOA</scope></search><sort><creationdate>20190101</creationdate><title>Current and Future Performance of the CMS Simulation</title><author>Pedro, Kevin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c384t-66510a0951e42985bcd3782e13d2f6ab5f137e0f08e41f825e4fb7b70fcba0223</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Computation</topic><topic>Computer simulation</topic><topic>Occupancy</topic><topic>Parallel processing</topic><topic>PHYSICS OF ELEMENTARY PARTICLES AND FIELDS</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pedro, Kevin</creatorcontrib><creatorcontrib>Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>OSTI.GOV - Hybrid</collection><collection>OSTI.GOV</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>EPJ Web of conferences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pedro, Kevin</au><au>Hristov, P.</au><au>Smirnova, O.</au><au>Betev, L.</au><au>Forti, A.</au><au>Litmaath, M.</au><aucorp>Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Current and Future Performance of the CMS Simulation</atitle><jtitle>EPJ Web of conferences</jtitle><date>2019-01-01</date><risdate>2019</risdate><volume>214</volume><spage>2036</spage><pages>2036-</pages><issn>2100-014X</issn><issn>2101-6275</issn><eissn>2100-014X</eissn><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.</abstract><cop>Les Ulis</cop><pub>EDP Sciences</pub><doi>10.1051/epjconf/201921402036</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2100-014X
ispartof EPJ Web of conferences, 2019-01, Vol.214, p.2036
issn 2100-014X
2101-6275
2100-014X
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_8acadb8ba71644099a43a1e6db8bb19b
source Publicly Available Content Database; Free Full-Text Journals in Chemistry
subjects Computation
Computer simulation
Occupancy
Parallel processing
PHYSICS OF ELEMENTARY PARTICLES AND FIELDS
Software
title Current and Future Performance of the CMS Simulation
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-30T23%3A40%3A15IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Current%20and%20Future%20Performance%20of%20the%20CMS%20Simulation&rft.jtitle=EPJ%20Web%20of%20conferences&rft.au=Pedro,%20Kevin&rft.aucorp=Fermi%20National%20Accelerator%20Lab.%20(FNAL),%20Batavia,%20IL%20(United%20States)&rft.date=2019-01-01&rft.volume=214&rft.spage=2036&rft.pages=2036-&rft.issn=2100-014X&rft.eissn=2100-014X&rft_id=info:doi/10.1051/epjconf/201921402036&rft_dat=%3Cproquest_doaj_%3E2297142373%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c384t-66510a0951e42985bcd3782e13d2f6ab5f137e0f08e41f825e4fb7b70fcba0223%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2297142373&rft_id=info:pmid/&rfr_iscdi=true