Suggestion for Evolutionary Strategy Implementation in CUDA
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F10%3A00171990" target="_blank" >RIV/68407700:21260/10:00171990 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Suggestion for Evolutionary Strategy Implementation in CUDA
Original language description
Nowadays, there exist cheap source of significant computation power - GPGPU (General Purpose computation on Graphics Processing Unit). Unfortunatelly, many implementations of GAs (Genetic Algorithms) and Evolutionary Strategies on GPGPUs follow implementations on general purpose CPUs and they are not so efficient as they might be. The paper discusses differences between standard CPUs, parallel systems based on CPUs (e.g. multi-kernel CPUs) and GPGPUs. Then, the main approaches to GPGPU programming are studied and novel implementation of Evolutionary Strategy is presented.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Mendel 2010
ISBN
978-80-214-4120-0
ISSN
1803-3814
e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
VUT v Brně
Place of publication
Brno
Event location
Brno
Event date
Jun 23, 2010
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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