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
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/80358
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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 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Objeto de conferencia http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/80358 |
url |
http://sedici.unlp.edu.ar/handle/10915/80358 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
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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openAccess |
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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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application/pdf 28-40 |
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