An implementation of differential evolution for independent tasks scheduling on GPU

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86080819" target="_blank" >RIV/61989100:27240/11:86080819 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-21219-2_47" target="_blank" >http://dx.doi.org/10.1007/978-3-642-21219-2_47</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-21219-2_47" target="_blank" >10.1007/978-3-642-21219-2_47</a>

Result language
angličtina
Original language name
An implementation of differential evolution for independent tasks scheduling on GPU
Original language description
Differential evolution is an efficient meta-heuristic optimization method with solid record of real world applications. In this paper, we present a simple and efficient implementation of the differential evolution using the massively parallel CUDA architecture. We demonstrate the speedup and improvements obtained by the parallelization of this intelligent algorithm on the problem of scheduling of independent tasks in heterogeneous environments.
Czech name
—
Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
—

Project
<a href="/en/project/FR-TI1%2F420" target="_blank" >FR-TI1/420: *Integrated software system for optimalization and control of technological processes and prediction of production quality for large technological complexes with use of advanced mathematic method, simulation and artificial intelligence.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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