Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Szostek, Pawel, Nowak, Andrzej, Bitzes, Georgios, Valsan, Liviu, Jarp, Sverre, Dotti, Andrea
Lenguaje:eng
Publicado: 2014
Materias:
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/513/6/062036
http://cds.cern.ch/record/2025731
_version_ 1780947204645584896
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
work_keys_str_mv AT szostekpawel beyondcorecountalookatnewmainstreamcomputingplatformsforhepworkloads
AT nowakandrzej beyondcorecountalookatnewmainstreamcomputingplatformsforhepworkloads
AT bitzesgeorgios beyondcorecountalookatnewmainstreamcomputingplatformsforhepworkloads
AT valsanliviu beyondcorecountalookatnewmainstreamcomputingplatformsforhepworkloads
AT jarpsverre beyondcorecountalookatnewmainstreamcomputingplatformsforhepworkloads
AT dottiandrea beyondcorecountalookatnewmainstreamcomputingplatformsforhepworkloads