A new approach for analyzing I/O in parallel scienti

Autores
Méndez, Sandra; Panadero, Javier; Wong, Alvaro; Rexachs del Rosario, Dolores; Luque Fadón, Emilio
Año de publicación
2012
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
The e cient use of high performance computing is usually focused on the use of computational resources. However, scienti c appli- cations currently produce a large volume of information. Therefore, the Input/Output (I/O) subsystem also should be used e ciently. In order to do so, it is necessary to know the application I/O patterns and establish a relationship between these patterns and the I/O susbsystem con g- uration. To analyze the I/O behavior of applications, we propose use a library of the PAS2P (Application Signature for Performance Prediction) tool. Parallel applications typically have repetitive behavior, and the I/O patterns of parallel applications also have that behavior. We propose to identify the portions (I/O phases) where the application does I/O. From these I/O phases, we extract an application model that can be used to evaluate it in di erent I/O subsystems considering the I/O phases and compute-communication phases. In this paper, we present the concepts used in the PAS2P methodology, which have been adapted for MPI-IO applications. We have extracted the I/O model of applications. This ap- proach was used to estimate the I/O time of an application in di erent subsystems. The results show a relative error of estimation lower than 10%.
Eje: Workshop Procesamiento distribuido y paralelo (WPDP)
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
new approach
Analyzing I/O
parallel scienti
Parallel
Distributed
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/23632

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network_name_str SEDICI (UNLP)
spelling A new approach for analyzing I/O in parallel scientiMéndez, SandraPanadero, JavierWong, AlvaroRexachs del Rosario, DoloresLuque Fadón, EmilioCiencias Informáticasnew approachAnalyzing I/Oparallel scientiParallelDistributedThe e cient use of high performance computing is usually focused on the use of computational resources. However, scienti c appli- cations currently produce a large volume of information. Therefore, the Input/Output (I/O) subsystem also should be used e ciently. In order to do so, it is necessary to know the application I/O patterns and establish a relationship between these patterns and the I/O susbsystem con g- uration. To analyze the I/O behavior of applications, we propose use a library of the PAS2P (Application Signature for Performance Prediction) tool. Parallel applications typically have repetitive behavior, and the I/O patterns of parallel applications also have that behavior. We propose to identify the portions (I/O phases) where the application does I/O. From these I/O phases, we extract an application model that can be used to evaluate it in di erent I/O subsystems considering the I/O phases and compute-communication phases. In this paper, we present the concepts used in the PAS2P methodology, which have been adapted for MPI-IO applications. We have extracted the I/O model of applications. This ap- proach was used to estimate the I/O time of an application in di erent subsystems. The results show a relative error of estimation lower than 10%.Eje: Workshop Procesamiento distribuido y paralelo (WPDP)Red de Universidades con Carreras en Informática (RedUNCI)2012-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/23632enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:55:31Zoai:sedici.unlp.edu.ar:10915/23632Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:55:31.76SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv A new approach for analyzing I/O in parallel scienti
title A new approach for analyzing I/O in parallel scienti
spellingShingle A new approach for analyzing I/O in parallel scienti
Méndez, Sandra
Ciencias Informáticas
new approach
Analyzing I/O
parallel scienti
Parallel
Distributed
title_short A new approach for analyzing I/O in parallel scienti
title_full A new approach for analyzing I/O in parallel scienti
title_fullStr A new approach for analyzing I/O in parallel scienti
title_full_unstemmed A new approach for analyzing I/O in parallel scienti
title_sort A new approach for analyzing I/O in parallel scienti
dc.creator.none.fl_str_mv Méndez, Sandra
Panadero, Javier
Wong, Alvaro
Rexachs del Rosario, Dolores
Luque Fadón, Emilio
author Méndez, Sandra
author_facet Méndez, Sandra
Panadero, Javier
Wong, Alvaro
Rexachs del Rosario, Dolores
Luque Fadón, Emilio
author_role author
author2 Panadero, Javier
Wong, Alvaro
Rexachs del Rosario, Dolores
Luque Fadón, Emilio
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
new approach
Analyzing I/O
parallel scienti
Parallel
Distributed
topic Ciencias Informáticas
new approach
Analyzing I/O
parallel scienti
Parallel
Distributed
dc.description.none.fl_txt_mv The e cient use of high performance computing is usually focused on the use of computational resources. However, scienti c appli- cations currently produce a large volume of information. Therefore, the Input/Output (I/O) subsystem also should be used e ciently. In order to do so, it is necessary to know the application I/O patterns and establish a relationship between these patterns and the I/O susbsystem con g- uration. To analyze the I/O behavior of applications, we propose use a library of the PAS2P (Application Signature for Performance Prediction) tool. Parallel applications typically have repetitive behavior, and the I/O patterns of parallel applications also have that behavior. We propose to identify the portions (I/O phases) where the application does I/O. From these I/O phases, we extract an application model that can be used to evaluate it in di erent I/O subsystems considering the I/O phases and compute-communication phases. In this paper, we present the concepts used in the PAS2P methodology, which have been adapted for MPI-IO applications. We have extracted the I/O model of applications. This ap- proach was used to estimate the I/O time of an application in di erent subsystems. The results show a relative error of estimation lower than 10%.
Eje: Workshop Procesamiento distribuido y paralelo (WPDP)
Red de Universidades con Carreras en Informática (RedUNCI)
description The e cient use of high performance computing is usually focused on the use of computational resources. However, scienti c appli- cations currently produce a large volume of information. Therefore, the Input/Output (I/O) subsystem also should be used e ciently. In order to do so, it is necessary to know the application I/O patterns and establish a relationship between these patterns and the I/O susbsystem con g- uration. To analyze the I/O behavior of applications, we propose use a library of the PAS2P (Application Signature for Performance Prediction) tool. Parallel applications typically have repetitive behavior, and the I/O patterns of parallel applications also have that behavior. We propose to identify the portions (I/O phases) where the application does I/O. From these I/O phases, we extract an application model that can be used to evaluate it in di erent I/O subsystems considering the I/O phases and compute-communication phases. In this paper, we present the concepts used in the PAS2P methodology, which have been adapted for MPI-IO applications. We have extracted the I/O model of applications. This ap- proach was used to estimate the I/O time of an application in di erent subsystems. The results show a relative error of estimation lower than 10%.
publishDate 2012
dc.date.none.fl_str_mv 2012-10
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info:eu-repo/semantics/publishedVersion
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dc.language.none.fl_str_mv eng
language eng
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