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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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Autor principal: Fontes Medeiros, Miguel
Lenguaje:eng
Publicado: 2021
Materias:
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