Enhancing data parallel aplications with task parallelism
Most parallel applications contain data parallelism and almost all discussion of its solutions has limited to the simplest and least expressive form: flat data parallelism. Several generalization of the flat data parallel model have been proposed because a large number of those applications need a c...
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| Autores principales: | , , , , |
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| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
2001
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| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/23313 |
| Aporte de: |
| id |
I19-R120-10915-23313 |
|---|---|
| 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 Parallel Concurrent Programming Data parallelism task parallelism nested data parallelism image-processing pipeline parallelism color images |
| spellingShingle |
Ciencias Informáticas Parallel Concurrent Programming Data parallelism task parallelism nested data parallelism image-processing pipeline parallelism color images Fernández, Jacqueline Guerrero, Roberto A. Piccoli, María Fabiana Printista, Alicia Marcela Villalobos, M. Enhancing data parallel aplications with task parallelism |
| topic_facet |
Ciencias Informáticas Parallel Concurrent Programming Data parallelism task parallelism nested data parallelism image-processing pipeline parallelism color images |
| description |
Most parallel applications contain data parallelism and almost all discussion of its solutions has limited to the simplest and least expressive form: flat data parallelism. Several generalization of the flat data parallel model have been proposed because a large number of those applications need a combination of task and data parallelism to represent their natural computation structure and to achieve good performance in their results. Their aim is to allow the capability of combining the easiness of programming of the data parallel model with the efficiency of the task parallel model.
In this work, we examine how to enhance two basic data parallel computation applications with task parallelism. Applications presented: N-body Simulation and Echo Elimination Process have been chosen from an unlimited scope of applications where the benefit of the integration of task and data parallelism can be shown |
| format |
Objeto de conferencia Objeto de conferencia |
| author |
Fernández, Jacqueline Guerrero, Roberto A. Piccoli, María Fabiana Printista, Alicia Marcela Villalobos, M. |
| author_facet |
Fernández, Jacqueline Guerrero, Roberto A. Piccoli, María Fabiana Printista, Alicia Marcela Villalobos, M. |
| author_sort |
Fernández, Jacqueline |
| title |
Enhancing data parallel aplications with task parallelism |
| title_short |
Enhancing data parallel aplications with task parallelism |
| title_full |
Enhancing data parallel aplications with task parallelism |
| title_fullStr |
Enhancing data parallel aplications with task parallelism |
| title_full_unstemmed |
Enhancing data parallel aplications with task parallelism |
| title_sort |
enhancing data parallel aplications with task parallelism |
| publishDate |
2001 |
| url |
http://sedici.unlp.edu.ar/handle/10915/23313 |
| work_keys_str_mv |
AT fernandezjacqueline enhancingdataparallelaplicationswithtaskparallelism AT guerrerorobertoa enhancingdataparallelaplicationswithtaskparallelism AT piccolimariafabiana enhancingdataparallelaplicationswithtaskparallelism AT printistaaliciamarcela enhancingdataparallelaplicationswithtaskparallelism AT villalobosm enhancingdataparallelaplicationswithtaskparallelism |
| bdutipo_str |
Repositorios |
| _version_ |
1764820466127601664 |