CUDA BASED ENHANCED DIFFERENTIAL EVOLUTION: A COMPUTATIONAL ANALYSIS

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F12%3A86083945" target="_blank" >RIV/61989100:27240/12:86083945 - isvavai.cz</a>
Alternative codes found
RIV/70883521:28140/12:43868644 RIV/70883521:28120/12:43868644
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
CUDA BASED ENHANCED DIFFERENTIAL EVOLUTION: A COMPUTATIONAL ANALYSIS
Original language description
General purpose graphic programming unit (GPGPU) programming is a novel approach for solving parallel variable independent problems. The graphic processor core (GPU) gives the possibility to use multiple blocks, each of which contains hundreds of threads. Each of these threads can be visualized as a core onto itself, and tasks can be simultaneously sent to all the threads for parallel evaluations. This research explores the advantages of applying a evolutionary algorithm (EA) on the GPU in terms of computational speedups. Enhanced Differential Evolution (EDE) is applied to the generic permutative flowshop scheduling (PFSS) problem both using the central processing unit (CPU) and the GPU, and the results in terms of execution time is compared.
Czech name
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Czech description
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Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
26th European Conference on Modelling and Simulation : shaping reality through simulation : Koblenz, Germany, May 29 ? June 1 2012
ISBN
978-0-9564944-4-3
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
399 - 404
Publisher name
ECMS
Place of publication
Nottingham
Event location
Koblenz
Event date
May 29, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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