Dense matrix multiplication algorithms and performance evaluation of hpcc in 81 nodes ibm power 8 architecture

Optimizing HPC systems based on performance factors and bottlenecks is essential for designing an HPC infrastructure with the best characteristics and at a reasonable cost. Such insight can only be achieved through a detailed analysis of existing HPC systems and the execution of their workloads. The...

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Autore principale: Estévez-Ruiz, Eduardo (author)
Altri autori: Caluña Chicaiza, Giovanny (author), Jiménez Patiño, Fabián (author), López Lago, Joaquín (author), Thirumuruganandham, Saravana Prakash (author)
Natura: article
Lingua:eng
Pubblicazione: 2021
Accesso online:https://www.mdpi.com/2079-3197/9/8/86
https://hdl.handle.net/20.500.14809/3174
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author Estévez-Ruiz, Eduardo
author2 Caluña Chicaiza, Giovanny
Jiménez Patiño, Fabián
López Lago, Joaquín
Thirumuruganandham, Saravana Prakash
author2_role author
author
author
author
author_facet Estévez-Ruiz, Eduardo
Caluña Chicaiza, Giovanny
Jiménez Patiño, Fabián
López Lago, Joaquín
Thirumuruganandham, Saravana Prakash
author_role author
collection Repositorio Universidad Tecnológica Indoamérica
dc.creator.none.fl_str_mv Estévez-Ruiz, Eduardo
Caluña Chicaiza, Giovanny
Jiménez Patiño, Fabián
López Lago, Joaquín
Thirumuruganandham, Saravana Prakash
dc.date.none.fl_str_mv 2021
2022-06-19T13:30:09Z
2022-06-19T13:30:09Z
dc.identifier.none.fl_str_mv https://www.mdpi.com/2079-3197/9/8/86
https://hdl.handle.net/20.500.14809/3174
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv Computation. Volume 9, Issue 8
dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:Repositorio Universidad Tecnológica Indoamérica
instname:Universidad Tecnológica Indoamérica
instacron:UTI
dc.title.none.fl_str_mv Dense matrix multiplication algorithms and performance evaluation of hpcc in 81 nodes ibm power 8 architecture
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description Optimizing HPC systems based on performance factors and bottlenecks is essential for designing an HPC infrastructure with the best characteristics and at a reasonable cost. Such insight can only be achieved through a detailed analysis of existing HPC systems and the execution of their workloads. The “Quinde I” is the only and most powerful supercomputer in Ecuador and is currently listed third on the South America. It was built with the IBM Power 8 servers. In this work, we measured its performance using different parameters from High-Performance Computing (HPC) to compare it with theoretical values and values obtained from tests on similar models. To measure its performance, we compiled and ran different benchmarks with the specific optimization flags for Power 8 to get the maximum performance with the current configuration in the hardware installed by the vendor. The inputs of the benchmarks were varied to analyze their impact on the system performance. In addition, we compile and compare the performance of two algorithms for dense matrix multiplication SRUMMA and DGEMM.
eu_rights_str_mv openAccess
format article
id UTI_f7be8e90a558f44835875b142df482b1
instacron_str UTI
institution UTI
instname_str Universidad Tecnológica Indoamérica
language eng
network_acronym_str UTI
network_name_str Repositorio Universidad Tecnológica Indoamérica
oai_identifier_str oai:repositorio.uti.edu.ec:20.500.14809/3174
publishDate 2021
publisher.none.fl_str_mv Computation. Volume 9, Issue 8
reponame_str Repositorio Universidad Tecnológica Indoamérica
repository.mail.fl_str_mv .
repository.name.fl_str_mv Repositorio Universidad Tecnológica Indoamérica - Universidad Tecnológica Indoamérica
repository_id_str 0
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0/
spelling Dense matrix multiplication algorithms and performance evaluation of hpcc in 81 nodes ibm power 8 architectureEstévez-Ruiz, EduardoCaluña Chicaiza, GiovannyJiménez Patiño, FabiánLópez Lago, JoaquínThirumuruganandham, Saravana PrakashOptimizing HPC systems based on performance factors and bottlenecks is essential for designing an HPC infrastructure with the best characteristics and at a reasonable cost. Such insight can only be achieved through a detailed analysis of existing HPC systems and the execution of their workloads. The “Quinde I” is the only and most powerful supercomputer in Ecuador and is currently listed third on the South America. It was built with the IBM Power 8 servers. In this work, we measured its performance using different parameters from High-Performance Computing (HPC) to compare it with theoretical values and values obtained from tests on similar models. To measure its performance, we compiled and ran different benchmarks with the specific optimization flags for Power 8 to get the maximum performance with the current configuration in the hardware installed by the vendor. The inputs of the benchmarks were varied to analyze their impact on the system performance. In addition, we compile and compare the performance of two algorithms for dense matrix multiplication SRUMMA and DGEMM.Computation. Volume 9, Issue 82022-06-19T13:30:09Z2022-06-19T13:30:09Z2021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://www.mdpi.com/2079-3197/9/8/86https://hdl.handle.net/20.500.14809/3174enghttps://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessreponame:Repositorio Universidad Tecnológica Indoaméricainstname:Universidad Tecnológica Indoaméricainstacron:UTI2023-05-01T23:55:06Zoai:repositorio.uti.edu.ec:20.500.14809/3174Institucionalhttps://repositorio.uti.edu.ec/Institución privadahttps://indoamerica.edu.ec/https://repositorio.uti.edu.ec/oai.Ecuador...opendoar:02023-05-01T23:55:06Repositorio Universidad Tecnológica Indoamérica - Universidad Tecnológica Indoaméricafalse
spellingShingle Dense matrix multiplication algorithms and performance evaluation of hpcc in 81 nodes ibm power 8 architecture
Estévez-Ruiz, Eduardo
status_str publishedVersion
title Dense matrix multiplication algorithms and performance evaluation of hpcc in 81 nodes ibm power 8 architecture
title_full Dense matrix multiplication algorithms and performance evaluation of hpcc in 81 nodes ibm power 8 architecture
title_fullStr Dense matrix multiplication algorithms and performance evaluation of hpcc in 81 nodes ibm power 8 architecture
title_full_unstemmed Dense matrix multiplication algorithms and performance evaluation of hpcc in 81 nodes ibm power 8 architecture
title_short Dense matrix multiplication algorithms and performance evaluation of hpcc in 81 nodes ibm power 8 architecture
title_sort Dense matrix multiplication algorithms and performance evaluation of hpcc in 81 nodes ibm power 8 architecture
url https://www.mdpi.com/2079-3197/9/8/86
https://hdl.handle.net/20.500.14809/3174