Nested parallelism in parallels paradigms
- Autores
- Piccoli, María Fabiana; Printista, Alicia Marcela; Gonzalez, Jesús Alberto; León, Coromoto; Roda García, José Luis; Rodriguez, C.; Sande, Francisco de
- Año de publicación
- 2000
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- Data parallelislm is one of the more successful efforts to introduce explicit parallelism to high level programming languages. This approach is taken because many useful computations can be framed in term of a set of independent sub-computation, each strongly associated with an element of a large data structure. Such computations are inherently parallelizable. Dala parallell programming is particularly convenient for two reasons. The first is its case of programming and the second is that it can scale easily to larger problem sizes. Several data parallel language implementations now exists. However, almost all discussion of data parallelism were limited to the simplest and least expressive form: unstructured data parallelism (flat). Many other generalizalions of the data parallel model have been proposed, which permit the nesling of data parallel constructors to specify parallel computation across nested and irregular data structures. These language implementations include the capability of nesled parallel invocations, combining the facility of programming on a data parallel model with the efficiency in the execution on irregular data structures of the task parellel model.
Eje: Procesamiento Concurrente, paralelo y distribuido. Redes
Red de Universidades con Carreras en Informática (RedUNCI) - Materia
-
Ciencias Informáticas
Nested parallelism
parallels paradigms
Parallel processing
Distributed
Parallel - 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:10915/22094
Ver los metadatos del registro completo
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Nested parallelism in parallels paradigmsPiccoli, María FabianaPrintista, Alicia MarcelaGonzalez, Jesús AlbertoLeón, CoromotoRoda García, José LuisRodriguez, C.Sande, Francisco deCiencias InformáticasNested parallelismparallels paradigmsParallel processingDistributedParallelData parallelislm is one of the more successful efforts to introduce explicit parallelism to high level programming languages. This approach is taken because many useful computations can be framed in term of a set of independent sub-computation, each strongly associated with an element of a large data structure. Such computations are inherently parallelizable. Dala parallell programming is particularly convenient for two reasons. The first is its case of programming and the second is that it can scale easily to larger problem sizes. Several data parallel language implementations now exists. However, almost all discussion of data parallelism were limited to the simplest and least expressive form: unstructured data parallelism (flat). Many other generalizalions of the data parallel model have been proposed, which permit the nesling of data parallel constructors to specify parallel computation across nested and irregular data structures. These language implementations include the capability of nesled parallel invocations, combining the facility of programming on a data parallel model with the efficiency in the execution on irregular data structures of the task parellel model.Eje: Procesamiento Concurrente, paralelo y distribuido. RedesRed de Universidades con Carreras en Informática (RedUNCI)2000-05info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf16-18http://sedici.unlp.edu.ar/handle/10915/22094enginfo: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:UNLP2025-09-29T10:54:53Zoai:sedici.unlp.edu.ar:10915/22094Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:54:53.3SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
Nested parallelism in parallels paradigms |
| title |
Nested parallelism in parallels paradigms |
| spellingShingle |
Nested parallelism in parallels paradigms Piccoli, María Fabiana Ciencias Informáticas Nested parallelism parallels paradigms Parallel processing Distributed Parallel |
| title_short |
Nested parallelism in parallels paradigms |
| title_full |
Nested parallelism in parallels paradigms |
| title_fullStr |
Nested parallelism in parallels paradigms |
| title_full_unstemmed |
Nested parallelism in parallels paradigms |
| title_sort |
Nested parallelism in parallels paradigms |
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Piccoli, María Fabiana Printista, Alicia Marcela Gonzalez, Jesús Alberto León, Coromoto Roda García, José Luis Rodriguez, C. Sande, Francisco de |
| author |
Piccoli, María Fabiana |
| author_facet |
Piccoli, María Fabiana Printista, Alicia Marcela Gonzalez, Jesús Alberto León, Coromoto Roda García, José Luis Rodriguez, C. Sande, Francisco de |
| author_role |
author |
| author2 |
Printista, Alicia Marcela Gonzalez, Jesús Alberto León, Coromoto Roda García, José Luis Rodriguez, C. Sande, Francisco de |
| author2_role |
author author author author author author |
| dc.subject.none.fl_str_mv |
Ciencias Informáticas Nested parallelism parallels paradigms Parallel processing Distributed Parallel |
| topic |
Ciencias Informáticas Nested parallelism parallels paradigms Parallel processing Distributed Parallel |
| dc.description.none.fl_txt_mv |
Data parallelislm is one of the more successful efforts to introduce explicit parallelism to high level programming languages. This approach is taken because many useful computations can be framed in term of a set of independent sub-computation, each strongly associated with an element of a large data structure. Such computations are inherently parallelizable. Dala parallell programming is particularly convenient for two reasons. The first is its case of programming and the second is that it can scale easily to larger problem sizes. Several data parallel language implementations now exists. However, almost all discussion of data parallelism were limited to the simplest and least expressive form: unstructured data parallelism (flat). Many other generalizalions of the data parallel model have been proposed, which permit the nesling of data parallel constructors to specify parallel computation across nested and irregular data structures. These language implementations include the capability of nesled parallel invocations, combining the facility of programming on a data parallel model with the efficiency in the execution on irregular data structures of the task parellel model. Eje: Procesamiento Concurrente, paralelo y distribuido. Redes Red de Universidades con Carreras en Informática (RedUNCI) |
| description |
Data parallelislm is one of the more successful efforts to introduce explicit parallelism to high level programming languages. This approach is taken because many useful computations can be framed in term of a set of independent sub-computation, each strongly associated with an element of a large data structure. Such computations are inherently parallelizable. Dala parallell programming is particularly convenient for two reasons. The first is its case of programming and the second is that it can scale easily to larger problem sizes. Several data parallel language implementations now exists. However, almost all discussion of data parallelism were limited to the simplest and least expressive form: unstructured data parallelism (flat). Many other generalizalions of the data parallel model have been proposed, which permit the nesling of data parallel constructors to specify parallel computation across nested and irregular data structures. These language implementations include the capability of nesled parallel invocations, combining the facility of programming on a data parallel model with the efficiency in the execution on irregular data structures of the task parellel model. |
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2000 |
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2000-05 |
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