Predicting the communication pattern evolution for scalability analysis
The performance of the message-passing applications on a parallel system can vary and cause ine ciencies as the applications grow. With the aim of providing scalability behavior information of these applications on a speci c system, we propose a methodology that allows to analyze and predict the ap...
Guardado en:
| Autores principales: | , , , |
|---|---|
| Formato: | Objeto de conferencia |
| Lenguaje: | other |
| Publicado: |
2013
|
| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/31728 |
| Aporte de: |
| id |
I19-R120-10915-31728 |
|---|---|
| record_format |
dspace |
| institution |
Universidad Nacional de La Plata |
| institution_str |
I-19 |
| repository_str |
R-120 |
| collection |
SEDICI (UNLP) |
| language |
other |
| topic |
Ciencias Informáticas prediction scalability communication pattern MPI applications |
| spellingShingle |
Ciencias Informáticas prediction scalability communication pattern MPI applications Panadero, Javier Wong, Alvaro Rexachs del Rosario, Dolores Luque Fadón, Emilio Predicting the communication pattern evolution for scalability analysis |
| topic_facet |
Ciencias Informáticas prediction scalability communication pattern MPI applications |
| description |
The performance of the message-passing applications on a parallel system can vary and cause ine ciencies as the applications grow.
With the aim of providing scalability behavior information of these applications on a speci c system, we propose a methodology that allows to analyze and predict the application behavior in a bounded time and using a limited number of resources. The proposed methodology is based on the fact that most scienti c applications have been developed using speci c communicational and computational patterns, which have certain behavior rules. As the number of application processes increases, these patterns change their behavior following speci c rules, being functionally constants. Our methodology is focused on characterizing these patterns to nd its general behavior rules, in order to build a logical application trace to predict its performance. The methodology uses the PAS2P tool to obtain the application behavior information, that allow us to analyze quickly a set of relevant phases covering approximately 95% of the total application. In this paper, we present the entire methodology while the experimental validation, that has been validated for the NAS benchmarks, is focused on characterizing the communication pattern for each phase and to model its general behavior rules to predict the pattern as the number of processes increases. |
| format |
Objeto de conferencia Objeto de conferencia |
| author |
Panadero, Javier Wong, Alvaro Rexachs del Rosario, Dolores Luque Fadón, Emilio |
| author_facet |
Panadero, Javier Wong, Alvaro Rexachs del Rosario, Dolores Luque Fadón, Emilio |
| author_sort |
Panadero, Javier |
| title |
Predicting the communication pattern evolution for scalability analysis |
| title_short |
Predicting the communication pattern evolution for scalability analysis |
| title_full |
Predicting the communication pattern evolution for scalability analysis |
| title_fullStr |
Predicting the communication pattern evolution for scalability analysis |
| title_full_unstemmed |
Predicting the communication pattern evolution for scalability analysis |
| title_sort |
predicting the communication pattern evolution for scalability analysis |
| publishDate |
2013 |
| url |
http://sedici.unlp.edu.ar/handle/10915/31728 |
| work_keys_str_mv |
AT panaderojavier predictingthecommunicationpatternevolutionforscalabilityanalysis AT wongalvaro predictingthecommunicationpatternevolutionforscalabilityanalysis AT rexachsdelrosariodolores predictingthecommunicationpatternevolutionforscalabilityanalysis AT luquefadonemilio predictingthecommunicationpatternevolutionforscalabilityanalysis |
| bdutipo_str |
Repositorios |
| _version_ |
1764820468729118724 |