Title:
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Enabling GPU Support for the COMPSs-Mobile Framework
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Author:
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Lordan, Francesc; Badia, Rosa M.; Hwu, Wen-Mei
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Other authors:
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Barcelona Supercomputing Center |
Abstract:
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Using the GPUs embedded in mobile devices allows for increasing the performance of the applications running on them while reducing the energy consumption of their execution. This article presents a task-based solution for adaptative, collaborative heterogeneous computing on mobile cloud environments. To implement our proposal, we extend the COMPSs-Mobile framework – an implementation of the COMPSs programming model for building mobile applications that offload part of the computation to the Cloud – to support offloading computation to GPUs through OpenCL. To evaluate our solution, we subject the prototype to three benchmark applications representing different application patterns. |
Abstract:
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This work is partially supported by the Joint-Laboratory on Extreme Scale Computing (JLESC), by the European Union through the Horizon 2020 research and innovation programme under contract 687584 (TANGO Project), by the Spanish Goverment (TIN2015-65316-P, BES-2013-067167, EEBB-2016-11272, SEV-2011-00067) and the Generalitat de Catalunya (2014-SGR-1051). |
Abstract:
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Peer Reviewed |
Subject(s):
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-Àrees temàtiques de la UPC::Informàtica -High performance computing -Programming series -Programming model -Heterogeneous computing -Collaborative computing -GPGPU -OpenCL -Mobile Cloud Computing -Android -Supercomputadors -Programació (Ordinadors) |
Rights:
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Document type:
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Article - Submitted version Conference Object |
Published by:
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Springer
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