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Concurrency and Computation Practice and Experience
Article . 2015 . Peer-reviewed
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Article . 2016
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Article . 2016
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Green computing on graphics processing units

Authors: Magoulès, Frédéric; Cheik Ahamed, Abal-Kassim; Suzuki, Atsushi;

Green computing on graphics processing units

Abstract

SummaryTo answer the question ‘How much energy is consumed for a numerical simulation running on Graphic Processing Unit?’, an experimental protocol is here established. The current provided to a graphic processing unit (GPU) during computation is directly measured using amperometric clamps. Signal processing on the intensity of the current of the power supplied to a GPU, with noise reduction technique, gives precise timing of GPU states, which allow establishing an energy consumption model of the GPU. Energy consumption of each operation, memory copy, vector addition, and element wise product is precisely measured to tune and validate the energy consumption model. The accuracy of the proposed energy consumption model compared to measurements is finally illustrated on a conjugate gradient method for a problem discretized by a finite element method. Copyright © 2015 John Wiley & Sons, Ltd.

Keywords

[INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM]

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Average
Top 10%
Top 10%
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