Locality-Aware Automatic Parallelization for GPGPU with OpenHMPP Directives

The use of GPUs for general purpose computation has increased dramatically in the past years due to the rising demands of computing power and their tremendous computing capacity at low cost. Hence, new programming models have been developed to integrate these accelerators with high-level programming...

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Veröffentlicht in:	International journal of parallel programming Jg. 44; H. 3; S. 620 - 643
Hauptverfasser:	Andión, José M., Arenaz, Manuel, Bodin, François, Rodríguez, Gabriel, Touriño, Juan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.06.2016 Springer Nature B.V
Schlagworte:	Analysis Automation Case studies Computation Computer programming Computer Science Computing costs Demand Heterogeneity Optimization techniques Parallel processing Performance evaluation Processor Architectures Programming languages Software Software Engineering/Programming and Operating Systems Source code Studies Theory of Computation Three dimensional Transformations Heterogeneous systems Automatic parallelization Domain-independent kernel Locality GPGPU OpenHMPP
ISSN:	0885-7458, 1573-7640
Online-Zugang:	Volltext
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