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
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/23632
Ver los metadatos del registro completo
| id |
SEDICI_5fcf5f2165ed5209b5d6807101245d6d |
|---|---|
| oai_identifier_str |
oai:sedici.unlp.edu.ar:10915/23632 |
| network_acronym_str |
SEDICI |
| repository_id_str |
1329 |
| 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:UNLP2025-11-26T09:34:08Zoai: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:13292025-11-26 09:34:09.047SEDICI (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 |
| 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/10915/23632 |
| url |
http://sedici.unlp.edu.ar/handle/10915/23632 |
| dc.language.none.fl_str_mv |
eng |
| language |
eng |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) |
| eu_rights_str_mv |
openAccess |
| rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.source.none.fl_str_mv |
reponame:SEDICI (UNLP) instname:Universidad Nacional de La Plata instacron:UNLP |
| reponame_str |
SEDICI (UNLP) |
| collection |
SEDICI (UNLP) |
| instname_str |
Universidad Nacional de La Plata |
| instacron_str |
UNLP |
| institution |
UNLP |
| repository.name.fl_str_mv |
SEDICI (UNLP) - Universidad Nacional de La Plata |
| repository.mail.fl_str_mv |
alira@sedici.unlp.edu.ar |
| _version_ |
1849875726630649856 |
| score |
13.011256 |