Extending OpenMP to Survive the Heterogeneous Multi-Core Era
Impacto
Scholar |
Otros documentos de la autoría: Ayguadé, Eduardo; Badía Sala, Rosa María; Bellens, Pieter; Cabrera, Daniel; Durán, Alejandro; Ferrer, Roger; González, Marc; Igual, Francisco; Jiménez González, Daniel; Labarta Mancho, Jesús; Martinell, Luis; Martorell, Xavier; Mayo, Rafael; Pérez, Josep M.; Planas, Judit; Quintana-Orti, Enrique S.
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
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http://dx.doi.org/10.1007/s10766-010-0135-4 |
Metadatos
Título
Extending OpenMP to Survive the Heterogeneous Multi-Core EraAutoría
Fecha de publicación
2010Editor
Springer USISSN
0885-7458Cita bibliográfica
International Journal of Parallel Programming (2010), 38, 5-6, p. 440-459Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://link.springer.com/article/10.1007/s10766-010-0135-4Palabras clave / Materias
Resumen
This paper advances the state-of-the-art in programming models for exploiting task-level parallelism on heterogeneous many-core systems, presenting a number of extensions to the OpenMP language inspired in the StarSs ... [+]
This paper advances the state-of-the-art in programming models for exploiting task-level parallelism on heterogeneous many-core systems, presenting a number of extensions to the OpenMP language inspired in the StarSs programming model. The proposed extensions allow the programmer to write portable code easily for a number of different platforms, relieving him/her from developing the specific code to off-load tasks to the accelerators and the synchronization of tasks. Our results obtained from the StarSs instantiations for SMPs, the Cell, and GPUs report reasonable parallel performance. However, the real impact of our approach in is the productivity gains it yields for the programmer. [-]
Derechos de acceso
© Springer Science+Business Media, LLC 2010
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info:eu-repo/semantics/restrictedAccess
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info:eu-repo/semantics/restrictedAccess
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- ICC_Articles [417]