Methodology to define a static allocation mapping based on memory access patterns and the signature of MPI applications in HPC systems

Tools for identifying problems and improving MPI applications performance running on an HPC system require information from both the application and the system. In this work, we will focus on defining a methodology to analyze how memory usage affects an MPI application’s performance running on an HP...

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Autores principales: Enrique, Gerard, Bruballa, Eva, Suppi, Remo, Wong, Alvaro, Luque, Emilio, Rexachs, Dolores
Formato: Articulo
Lenguaje:Inglés
Publicado: 2024
Materias:
Ciencias Informáticas
cache memory
HPC performance
MPI parallel applications
process mapping
aplicaciones paralelas MPI
mapeo de procesos
memoria caché
rendimiento HPC
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/173714
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SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-173714
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spelling I19-R120-10915-1737142024-11-26T04:05:45Z http://sedici.unlp.edu.ar/handle/10915/173714 Methodology to define a static allocation mapping based on memory access patterns and the signature of MPI applications in HPC systems Metodología para definir una política de asignación estática de procesos basada en patrones de acceso a memoria y la firma de aplicaciones MPI en sistemas HPC Enrique, Gerard Bruballa, Eva Suppi, Remo Wong, Alvaro Luque, Emilio Rexachs, Dolores 2024-10 2024-11-25T17:49:56Z en Ciencias Informáticas cache memory HPC performance MPI parallel applications process mapping aplicaciones paralelas MPI mapeo de procesos memoria caché rendimiento HPC Tools for identifying problems and improving MPI applications performance running on an HPC system require information from both the application and the system. In this work, we will focus on defining a methodology to analyze how memory usage affects an MPI application’s performance running on an HPC system. This methodology will obtain valid and comparable data based on different memory access patterns, which will allow us to define key performance values used to characterize the HPC system behaviour facing these access patterns, as well as to characterize the Application Signature behaviour. This is obtained from Parallel Application Signatures for Performance Prediction (PAS2P) tool which obtains the representative phases of the MPI application, facing these same access patterns. With this methodology, we will be able to detect memory access application problems, suggest improvements and define a mapping policy for this application in this HPC system, in order to improve its performance and to determine limits to these improvements. Las herramientas para identificar problemas y mejorar el rendimiento de las aplicaciones MPI que se ejecutan en un sistema HPC requieren información de la aplicación y del sistema. En este trabajo nos centraremos en definir una metodología para analizar cómo el uso de la memoria afecta el rendimiento de una aplicación MPI que se ejecuta en este sistema HPC. Esta metodología obtendrá datos válidos y comparables basados en diferentes patrones de acceso a la memoria que permitirán definir valores clave de rendimiento utilizados para caracterizar el comportamiento de un sistema HPC frente a estos patrones de acceso y para caracterizar el comportamiento de la Firma de la Aplicación, (obtenida de la herramienta Parallel Application Signatures for Performance Prediction (PAS2P) que obtiene las fases representativas de la aplicación MPI) frente a estos mismos patrones de acceso. Con esta metodología, podremos detectar problemas de la aplicación de acceso a la memoria, sugerir mejoras y definir una política de mapeo para esta aplicación en este sistema HPC para mejorar su rendimiento y determinar los límites de estas mejoras. Facultad de Informática Articulo Articulo http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf 120-129
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
cache memory
HPC performance
MPI parallel applications
process mapping
aplicaciones paralelas MPI
mapeo de procesos
memoria caché
rendimiento HPC
spellingShingle Ciencias Informáticas
cache memory
HPC performance
MPI parallel applications
process mapping
aplicaciones paralelas MPI
mapeo de procesos
memoria caché
rendimiento HPC
Enrique, Gerard
Bruballa, Eva
Suppi, Remo
Wong, Alvaro
Luque, Emilio
Rexachs, Dolores
Methodology to define a static allocation mapping based on memory access patterns and the signature of MPI applications in HPC systems
topic_facet Ciencias Informáticas
cache memory
HPC performance
MPI parallel applications
process mapping
aplicaciones paralelas MPI
mapeo de procesos
memoria caché
rendimiento HPC
description Tools for identifying problems and improving MPI applications performance running on an HPC system require information from both the application and the system. In this work, we will focus on defining a methodology to analyze how memory usage affects an MPI application’s performance running on an HPC system. This methodology will obtain valid and comparable data based on different memory access patterns, which will allow us to define key performance values used to characterize the HPC system behaviour facing these access patterns, as well as to characterize the Application Signature behaviour. This is obtained from Parallel Application Signatures for Performance Prediction (PAS2P) tool which obtains the representative phases of the MPI application, facing these same access patterns. With this methodology, we will be able to detect memory access application problems, suggest improvements and define a mapping policy for this application in this HPC system, in order to improve its performance and to determine limits to these improvements.
format Articulo
Articulo
author Enrique, Gerard
Bruballa, Eva
Suppi, Remo
Wong, Alvaro
Luque, Emilio
Rexachs, Dolores
author_facet Enrique, Gerard
Bruballa, Eva
Suppi, Remo
Wong, Alvaro
Luque, Emilio
Rexachs, Dolores
author_sort Enrique, Gerard
title Methodology to define a static allocation mapping based on memory access patterns and the signature of MPI applications in HPC systems
title_short Methodology to define a static allocation mapping based on memory access patterns and the signature of MPI applications in HPC systems
title_full Methodology to define a static allocation mapping based on memory access patterns and the signature of MPI applications in HPC systems
title_fullStr Methodology to define a static allocation mapping based on memory access patterns and the signature of MPI applications in HPC systems
title_full_unstemmed Methodology to define a static allocation mapping based on memory access patterns and the signature of MPI applications in HPC systems
title_sort methodology to define a static allocation mapping based on memory access patterns and the signature of mpi applications in hpc systems
publishDate 2024
url http://sedici.unlp.edu.ar/handle/10915/173714
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