Benchmark based on application signature to analyze and predict their behavior

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 i...

Descripción completa

Detalles Bibliográficos
Autores principales: Tirado, Felipe, Wong, Alvaro, Rexachs del Rosario, Dolores, Luque Fadón, Emilio
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2019
Materias:
Ciencias Informáticas
High Performance Computing
MPI Application
Performance Prediction
Performance metrics
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/80358
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-80358
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
High Performance Computing
MPI Application
Performance Prediction
Performance metrics
spellingShingle Ciencias Informáticas
High Performance Computing
MPI Application
Performance Prediction
Performance metrics
Tirado, Felipe
Wong, Alvaro
Rexachs del Rosario, Dolores
Luque Fadón, Emilio
Benchmark based on application signature to analyze and predict their behavior
topic_facet Ciencias Informáticas
High Performance Computing
MPI Application
Performance Prediction
Performance metrics
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%.
format Objeto de conferencia
Objeto de conferencia
author Tirado, Felipe
Wong, Alvaro
Rexachs del Rosario, Dolores
Luque Fadón, Emilio
author_facet Tirado, Felipe
Wong, Alvaro
Rexachs del Rosario, Dolores
Luque Fadón, Emilio
author_sort Tirado, Felipe
title Benchmark based on application signature to analyze and predict their behavior
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
publishDate 2019
url http://sedici.unlp.edu.ar/handle/10915/80358
work_keys_str_mv AT tiradofelipe benchmarkbasedonapplicationsignaturetoanalyzeandpredicttheirbehavior
AT wongalvaro benchmarkbasedonapplicationsignaturetoanalyzeandpredicttheirbehavior
AT rexachsdelrosariodolores benchmarkbasedonapplicationsignaturetoanalyzeandpredicttheirbehavior
AT luquefadonemilio benchmarkbasedonapplicationsignaturetoanalyzeandpredicttheirbehavior
bdutipo_str Repositorios
_version_ 1764820486882066434

Ejemplares similares