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An adaptive methodology for multi-GPU programming in OpenCL

An adaptive methodology for multi-GPU programming in OpenCL PurposeThe purpose of this work is to present a methodology that harnesses the computational power of multiple graphics processing units (GPUs) and hides the complexities of tuning GPU parameters from the users.Design/methodology/approachA methodology for auto-tuning OpenCL configuration parameters has been developed.FindingsThis described process helps simplify coding and generates a significant gain in time for each method execution.Originality/valueMost authors develop their GPU applications for specific hardware configurations. In this work, a solution is offered to make the developed code portable to any GPU hardware. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Engineering Computations Emerald Publishing

An adaptive methodology for multi-GPU programming in OpenCL

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Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
0264-4401
DOI
10.1108/EC-12-2015-0392
Publisher site
See Article on Publisher Site

Abstract

PurposeThe purpose of this work is to present a methodology that harnesses the computational power of multiple graphics processing units (GPUs) and hides the complexities of tuning GPU parameters from the users.Design/methodology/approachA methodology for auto-tuning OpenCL configuration parameters has been developed.FindingsThis described process helps simplify coding and generates a significant gain in time for each method execution.Originality/valueMost authors develop their GPU applications for specific hardware configurations. In this work, a solution is offered to make the developed code portable to any GPU hardware.

Journal

Engineering ComputationsEmerald Publishing

Published: Jun 12, 2017

References