Supporting nested parallelism

Many parallel applications do not completely fit into the data parallel model. Although these applications contain data parallelism, task parallelism is needed to represent the natural computation structure or enhance performance. To combine the easiness of programming of the data parallel model wit...

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Autores principales: Gonzalez, Jesús A., León, Coromoto, Piccoli, María Fabiana, Printista, Alicia Marcela, Roda García, José Luis, Rodríguez, Casiano, Sande Gonzalez, Francisco de
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2000
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/23361
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id I19-R120-10915-23361
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
nested parallel model
divide and conquer technique
Parallel programming
spellingShingle Ciencias Informáticas
nested parallel model
divide and conquer technique
Parallel programming
Gonzalez, Jesús A.
León, Coromoto
Piccoli, María Fabiana
Printista, Alicia Marcela
Roda García, José Luis
Rodríguez, Casiano
Sande Gonzalez, Francisco de
Supporting nested parallelism
topic_facet Ciencias Informáticas
nested parallel model
divide and conquer technique
Parallel programming
description Many parallel applications do not completely fit into the data parallel model. Although these applications contain data parallelism, task parallelism is needed to represent the natural computation structure or enhance performance. To combine the easiness of programming of the data parallel model with the efficiency of the task parallel model allows to parallel forms to be nested, giving Nested parallelism. In this work, we examine the solutions provided to N ested parallelism in two standard parallel programming platforms, HPF and MPI. Both their expression capacity and their efficiency are compared on a Cray- 3TE, which is distributed memory machine. Finally, an additional speech about the use of the methodology proposed for MPI is done on two different architectures
format Objeto de conferencia
Objeto de conferencia
author Gonzalez, Jesús A.
León, Coromoto
Piccoli, María Fabiana
Printista, Alicia Marcela
Roda García, José Luis
Rodríguez, Casiano
Sande Gonzalez, Francisco de
author_facet Gonzalez, Jesús A.
León, Coromoto
Piccoli, María Fabiana
Printista, Alicia Marcela
Roda García, José Luis
Rodríguez, Casiano
Sande Gonzalez, Francisco de
author_sort Gonzalez, Jesús A.
title Supporting nested parallelism
title_short Supporting nested parallelism
title_full Supporting nested parallelism
title_fullStr Supporting nested parallelism
title_full_unstemmed Supporting nested parallelism
title_sort supporting nested parallelism
publishDate 2000
url http://sedici.unlp.edu.ar/handle/10915/23361
work_keys_str_mv AT gonzalezjesusa supportingnestedparallelism
AT leoncoromoto supportingnestedparallelism
AT piccolimariafabiana supportingnestedparallelism
AT printistaaliciamarcela supportingnestedparallelism
AT rodagarciajoseluis supportingnestedparallelism
AT rodriguezcasiano supportingnestedparallelism
AT sandegonzalezfranciscode supportingnestedparallelism
bdutipo_str Repositorios
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