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HEPiX benchmarking solution for WLCG computing resources
<!--HTML-->The HEPiX Benchmarking Working Group has been developing a benchmark based on actual software workloads of the High Energy Physics community. This approach, based on container technologies, is designed to provide a benchmark that is better correlated with the actual throughput of th...
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Lenguaje: | eng |
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2021
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Acceso en línea: | http://cds.cern.ch/record/2767045 |
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author | Fontes Medeiros, Miguel |
author_facet | Fontes Medeiros, Miguel |
author_sort | Fontes Medeiros, Miguel |
collection | CERN |
description | <!--HTML-->The HEPiX Benchmarking Working Group has been developing a benchmark based on actual software workloads of the High Energy Physics community. This approach, based on container technologies, is designed to provide a benchmark that is better correlated with the actual throughput of the experiment production workloads. It also offers the possibility to separately explore and describe the independent architectural features of different computing resource types. This is very important in view of the growing heterogeneity of the HEP computing landscape, where the role of non-traditional computing resources such as HPCs and GPUs is expected to increase significantly. |
id | cern-2767045 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2021 |
record_format | invenio |
spelling | cern-27670452022-11-02T22:25:41Zhttp://cds.cern.ch/record/2767045engFontes Medeiros, MiguelHEPiX benchmarking solution for WLCG computing resources25th International Conference on Computing in High Energy & Nuclear PhysicsConferences<!--HTML-->The HEPiX Benchmarking Working Group has been developing a benchmark based on actual software workloads of the High Energy Physics community. This approach, based on container technologies, is designed to provide a benchmark that is better correlated with the actual throughput of the experiment production workloads. It also offers the possibility to separately explore and describe the independent architectural features of different computing resource types. This is very important in view of the growing heterogeneity of the HEP computing landscape, where the role of non-traditional computing resources such as HPCs and GPUs is expected to increase significantly.oai:cds.cern.ch:27670452021 |
spellingShingle | Conferences Fontes Medeiros, Miguel HEPiX benchmarking solution for WLCG computing resources |
title | HEPiX benchmarking solution for WLCG computing resources |
title_full | HEPiX benchmarking solution for WLCG computing resources |
title_fullStr | HEPiX benchmarking solution for WLCG computing resources |
title_full_unstemmed | HEPiX benchmarking solution for WLCG computing resources |
title_short | HEPiX benchmarking solution for WLCG computing resources |
title_sort | hepix benchmarking solution for wlcg computing resources |
topic | Conferences |
url | http://cds.cern.ch/record/2767045 |
work_keys_str_mv | AT fontesmedeirosmiguel hepixbenchmarkingsolutionforwlcgcomputingresources AT fontesmedeirosmiguel 25thinternationalconferenceoncomputinginhighenergynuclearphysics |