Extending OpenMP to Survive the Heterogeneous Multi-Core Era
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Other documents of the author: 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.
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Show full item recordcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/8620
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http://dx.doi.org/10.1007/s10766-010-0135-4 |
Metadata
Title
Extending OpenMP to Survive the Heterogeneous Multi-Core EraAuthor (s)
Date
2010Publisher
Springer USISSN
0885-7458Bibliographic citation
International Journal of Parallel Programming (2010), 38, 5-6, p. 440-459Type
info:eu-repo/semantics/articlePublisher version
http://link.springer.com/article/10.1007/s10766-010-0135-4Subject
Abstract
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. [-]
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© Springer Science+Business Media, LLC 2010
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- ICC_Articles [427]