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Beyond core count: a look at new mainstream computing platforms for HEP workloads
As Moore's Law continues to deliver more and more transistors, the mainstream processor industry is preparing to expand its investments in areas other than simple core count. These new interests include deep integration of on-chip components, advanced vector units, memory, cache and interconnec...
Autores principales: | , , , , , |
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Lenguaje: | eng |
Publicado: |
2014
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/513/6/062036 http://cds.cern.ch/record/2025731 |
_version_ | 1780947204645584896 |
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author | Szostek, Pawel Nowak, Andrzej Bitzes, Georgios Valsan, Liviu Jarp, Sverre Dotti, Andrea |
author_facet | Szostek, Pawel Nowak, Andrzej Bitzes, Georgios Valsan, Liviu Jarp, Sverre Dotti, Andrea |
author_sort | Szostek, Pawel |
collection | CERN |
description | As Moore's Law continues to deliver more and more transistors, the mainstream processor industry is preparing to expand its investments in areas other than simple core count. These new interests include deep integration of on-chip components, advanced vector units, memory, cache and interconnect technologies. We examine these moving trends with parallelized and vectorized High Energy Physics workloads in mind. In particular, we report on practical experience resulting from experiments with scalable HEP benchmarks on the Intel 'Ivy Bridge-EP' and 'Haswell' processor families. In addition, we examine the benefits of the new 'Haswell' microarchitecture and its impact on multiple facets of HEP software. Finally, we report on the power efficiency of new systems. |
id | oai-inspirehep.net-1302195 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2014 |
record_format | invenio |
spelling | oai-inspirehep.net-13021952022-08-17T13:27:44Zdoi:10.1088/1742-6596/513/6/062036http://cds.cern.ch/record/2025731engSzostek, PawelNowak, AndrzejBitzes, GeorgiosValsan, LiviuJarp, SverreDotti, AndreaBeyond core count: a look at new mainstream computing platforms for HEP workloadsComputing and ComputersAs Moore's Law continues to deliver more and more transistors, the mainstream processor industry is preparing to expand its investments in areas other than simple core count. These new interests include deep integration of on-chip components, advanced vector units, memory, cache and interconnect technologies. We examine these moving trends with parallelized and vectorized High Energy Physics workloads in mind. In particular, we report on practical experience resulting from experiments with scalable HEP benchmarks on the Intel 'Ivy Bridge-EP' and 'Haswell' processor families. In addition, we examine the benefits of the new 'Haswell' microarchitecture and its impact on multiple facets of HEP software. Finally, we report on the power efficiency of new systems.oai:inspirehep.net:13021952014 |
spellingShingle | Computing and Computers Szostek, Pawel Nowak, Andrzej Bitzes, Georgios Valsan, Liviu Jarp, Sverre Dotti, Andrea Beyond core count: a look at new mainstream computing platforms for HEP workloads |
title | Beyond core count: a look at new mainstream computing platforms for HEP workloads |
title_full | Beyond core count: a look at new mainstream computing platforms for HEP workloads |
title_fullStr | Beyond core count: a look at new mainstream computing platforms for HEP workloads |
title_full_unstemmed | Beyond core count: a look at new mainstream computing platforms for HEP workloads |
title_short | Beyond core count: a look at new mainstream computing platforms for HEP workloads |
title_sort | beyond core count: a look at new mainstream computing platforms for hep workloads |
topic | Computing and Computers |
url | https://dx.doi.org/10.1088/1742-6596/513/6/062036 http://cds.cern.ch/record/2025731 |
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