Multi-threaded simulation for ATLAS: challenges and validation strategy
Estimations of the CPU resources that will be needed to produce simulated data for the future runs of the ATLAS experiment at the LHC, indicate a compelling need to speed-up the process to reduce the computational time required. While different fast simulation projects are ongoing, full Geant4 based...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2020-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2020/21/epjconf_chep2020_02001.pdf |
| _version_ | 1831551682868150272 |
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| author | Bandieramonte Marilena Chapman John Derek Chiu Justin Gray Heather Muskinja Miha |
| author_facet | Bandieramonte Marilena Chapman John Derek Chiu Justin Gray Heather Muskinja Miha |
| author_sort | Bandieramonte Marilena |
| collection | DOAJ |
| description | Estimations of the CPU resources that will be needed to produce simulated data for the future runs of the ATLAS experiment at the LHC, indicate a compelling need to speed-up the process to reduce the computational time required. While different fast simulation projects are ongoing, full Geant4 based simulation will still be heavily used and is expected to consume the biggest portion of the total estimated processing time. In order to run effectively on modern architectures and profit from multi-core designs a migration of the Athena framework to a multi-threading processing model was performed. A multi-threaded simulation based on AthenaMT and Geant4MT, enables substantial decreases in the memory footprint of jobs, largely from shared geometry and cross-section tables. This approach scales better with respect to the multi-processing approach (AthenaMP) especially on the architectures that are foreseen to be used in the next LHC runs. In these proceedings we report about the status of the multi-threaded simulation in ATLAS, focusing on the different challenges of its validation process. We demonstrate the different tools and strategies that have been used for debugging multi-threaded runs versus the corresponding sequential ones, in order to have a fully reproducible and consistent simulation result. |
| first_indexed | 2024-12-17T03:13:42Z |
| format | Article |
| id | doaj.art-7ab435ad706a4622bfd49da25fef4167 |
| institution | Directory Open Access Journal |
| issn | 2100-014X |
| language | English |
| last_indexed | 2024-12-17T03:13:42Z |
| publishDate | 2020-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj.art-7ab435ad706a4622bfd49da25fef41672022-12-21T22:05:45ZengEDP SciencesEPJ Web of Conferences2100-014X2020-01-012450200110.1051/epjconf/202024502001epjconf_chep2020_02001Multi-threaded simulation for ATLAS: challenges and validation strategyBandieramonte MarilenaChapman John DerekChiu JustinGray HeatherMuskinja MihaEstimations of the CPU resources that will be needed to produce simulated data for the future runs of the ATLAS experiment at the LHC, indicate a compelling need to speed-up the process to reduce the computational time required. While different fast simulation projects are ongoing, full Geant4 based simulation will still be heavily used and is expected to consume the biggest portion of the total estimated processing time. In order to run effectively on modern architectures and profit from multi-core designs a migration of the Athena framework to a multi-threading processing model was performed. A multi-threaded simulation based on AthenaMT and Geant4MT, enables substantial decreases in the memory footprint of jobs, largely from shared geometry and cross-section tables. This approach scales better with respect to the multi-processing approach (AthenaMP) especially on the architectures that are foreseen to be used in the next LHC runs. In these proceedings we report about the status of the multi-threaded simulation in ATLAS, focusing on the different challenges of its validation process. We demonstrate the different tools and strategies that have been used for debugging multi-threaded runs versus the corresponding sequential ones, in order to have a fully reproducible and consistent simulation result.https://www.epj-conferences.org/articles/epjconf/pdf/2020/21/epjconf_chep2020_02001.pdf |
| spellingShingle | Bandieramonte Marilena Chapman John Derek Chiu Justin Gray Heather Muskinja Miha Multi-threaded simulation for ATLAS: challenges and validation strategy EPJ Web of Conferences |
| title | Multi-threaded simulation for ATLAS: challenges and validation strategy |
| title_full | Multi-threaded simulation for ATLAS: challenges and validation strategy |
| title_fullStr | Multi-threaded simulation for ATLAS: challenges and validation strategy |
| title_full_unstemmed | Multi-threaded simulation for ATLAS: challenges and validation strategy |
| title_short | Multi-threaded simulation for ATLAS: challenges and validation strategy |
| title_sort | multi threaded simulation for atlas challenges and validation strategy |
| url | https://www.epj-conferences.org/articles/epjconf/pdf/2020/21/epjconf_chep2020_02001.pdf |
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