Benchmark based on application signature to analyze and predict their behavior

Autores
Tirado, Felipe; Wong, Alvaro; Rexachs del Rosario, Dolores; Luque Fadón, Emilio
Año de publicación
2019
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Currently, there are benchmark sets that measure the performance of HPC systems under specific computing and communication properties. These benchmarks represent the kernels of applications that measure specific hardware components. If the user’s application is not represented by any benchmark, it is not possible to obtain an equivalent performance metric. In this work, we propose a benchmark based on the signature of an MPI application obtained by the PAS2P method. PAS2P creates the application signature in order to predict the execution time, which we believe will be very adjusted in relation to the execution time of the full application. The signature has two performance qualities: the bounded time to execute it (a benchmark property) and the quality of prediction. Therefore, we propose to extend the signature by giving the benchmark capacities such as the efficiency of the application over the HPC system. The performance metrics will be performed by the benchmark proposed. The experimentation validates our proposal with an average error of prediction close to 7%.
Instituto de Investigación en Informática
Materia
Ciencias Informáticas
High Performance Computing
MPI Application
Performance Prediction
Performance metrics
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/80358

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spelling Benchmark based on application signature to analyze and predict their behaviorTirado, FelipeWong, AlvaroRexachs del Rosario, DoloresLuque Fadón, EmilioCiencias InformáticasHigh Performance ComputingMPI ApplicationPerformance PredictionPerformance metricsCurrently, there are benchmark sets that measure the performance of HPC systems under specific computing and communication properties. These benchmarks represent the kernels of applications that measure specific hardware components. If the user’s application is not represented by any benchmark, it is not possible to obtain an equivalent performance metric. In this work, we propose a benchmark based on the signature of an MPI application obtained by the PAS2P method. PAS2P creates the application signature in order to predict the execution time, which we believe will be very adjusted in relation to the execution time of the full application. The signature has two performance qualities: the bounded time to execute it (a benchmark property) and the quality of prediction. Therefore, we propose to extend the signature by giving the benchmark capacities such as the efficiency of the application over the HPC system. The performance metrics will be performed by the benchmark proposed. The experimentation validates our proposal with an average error of prediction close to 7%.Instituto de Investigación en Informática2019-06info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf28-40http://sedici.unlp.edu.ar/handle/10915/80358enginfo:eu-repo/semantics/altIdentifier/isbn/978-3-030-27713-0info:eu-repo/semantics/reference/doi/10.1007/978-3-030-27713-0info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:14:47Zoai:sedici.unlp.edu.ar:10915/80358Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:14:47.807SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Benchmark based on application signature to analyze and predict their behavior
title Benchmark based on application signature to analyze and predict their behavior
spellingShingle Benchmark based on application signature to analyze and predict their behavior
Tirado, Felipe
Ciencias Informáticas
High Performance Computing
MPI Application
Performance Prediction
Performance metrics
title_short Benchmark based on application signature to analyze and predict their behavior
title_full Benchmark based on application signature to analyze and predict their behavior
title_fullStr Benchmark based on application signature to analyze and predict their behavior
title_full_unstemmed Benchmark based on application signature to analyze and predict their behavior
title_sort Benchmark based on application signature to analyze and predict their behavior
dc.creator.none.fl_str_mv Tirado, Felipe
Wong, Alvaro
Rexachs del Rosario, Dolores
Luque Fadón, Emilio
author Tirado, Felipe
author_facet Tirado, Felipe
Wong, Alvaro
Rexachs del Rosario, Dolores
Luque Fadón, Emilio
author_role author
author2 Wong, Alvaro
Rexachs del Rosario, Dolores
Luque Fadón, Emilio
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
High Performance Computing
MPI Application
Performance Prediction
Performance metrics
topic Ciencias Informáticas
High Performance Computing
MPI Application
Performance Prediction
Performance metrics
dc.description.none.fl_txt_mv Currently, there are benchmark sets that measure the performance of HPC systems under specific computing and communication properties. These benchmarks represent the kernels of applications that measure specific hardware components. If the user’s application is not represented by any benchmark, it is not possible to obtain an equivalent performance metric. In this work, we propose a benchmark based on the signature of an MPI application obtained by the PAS2P method. PAS2P creates the application signature in order to predict the execution time, which we believe will be very adjusted in relation to the execution time of the full application. The signature has two performance qualities: the bounded time to execute it (a benchmark property) and the quality of prediction. Therefore, we propose to extend the signature by giving the benchmark capacities such as the efficiency of the application over the HPC system. The performance metrics will be performed by the benchmark proposed. The experimentation validates our proposal with an average error of prediction close to 7%.
Instituto de Investigación en Informática
description Currently, there are benchmark sets that measure the performance of HPC systems under specific computing and communication properties. These benchmarks represent the kernels of applications that measure specific hardware components. If the user’s application is not represented by any benchmark, it is not possible to obtain an equivalent performance metric. In this work, we propose a benchmark based on the signature of an MPI application obtained by the PAS2P method. PAS2P creates the application signature in order to predict the execution time, which we believe will be very adjusted in relation to the execution time of the full application. The signature has two performance qualities: the bounded time to execute it (a benchmark property) and the quality of prediction. Therefore, we propose to extend the signature by giving the benchmark capacities such as the efficiency of the application over the HPC system. The performance metrics will be performed by the benchmark proposed. The experimentation validates our proposal with an average error of prediction close to 7%.
publishDate 2019
dc.date.none.fl_str_mv 2019-06
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info:ar-repo/semantics/documentoDeConferencia
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dc.language.none.fl_str_mv eng
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dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-3-030-27713-0
info:eu-repo/semantics/reference/doi/10.1007/978-3-030-27713-0
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
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rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
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