Can the performance of GPGPU really beat CPU in evolutionary design task?

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F08%3APU78069" target="_blank" >RIV/00216305:26230/08:PU78069 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Can the performance of GPGPU really beat CPU in evolutionary design task?

Popis výsledku v původním jazyce

With the appearance of modern general purpose graphical processor units (GPU), a powerful and cheap architecture has entered the field of scientific computation. This highly parallel architecture, formerly designed for floating point graphical operationacceleration, is now being used for the acceleration of<br>various algorithms. <br><br>During the past few years, various papers dealing with the utilization of GPUs in general purpose computing have been published. Even evolutionary algorithms have beenaccelerated [1, 3], among them genetic programming and its variants. In order to achieve maximal performance of genome evaluation, various approaches of candidate solution evaluation have been proposed. The genome can be evaluated as a program which canbe directly downloaded into the GPU [1] or interpreted by using an interpreter program running on the GPU [2]. Due to the architectural limitations, the second method appears to be more promising in comparison with the previous one.<br><

Název v anglickém jazyce

Can the performance of GPGPU really beat CPU in evolutionary design task?

Popis výsledku anglicky

With the appearance of modern general purpose graphical processor units (GPU), a powerful and cheap architecture has entered the field of scientific computation. This highly parallel architecture, formerly designed for floating point graphical operationacceleration, is now being used for the acceleration of<br>various algorithms. <br><br>During the past few years, various papers dealing with the utilization of GPUs in general purpose computing have been published. Even evolutionary algorithms have beenaccelerated [1, 3], among them genetic programming and its variants. In order to achieve maximal performance of genome evaluation, various approaches of candidate solution evaluation have been proposed. The genome can be evaluated as a program which canbe directly downloaded into the GPU [1] or interpreted by using an interpreter program running on the GPU [2]. Due to the architectural limitations, the second method appears to be more promising in comparison with the previous one.<br><

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2008

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

4th Doctoral Workshop on Mathematical and Engineering Methods in Computer Science

ISBN

978-80-7355-082-0

ISSN

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e-ISSN

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Počet stran výsledku

1

Strana od-do

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Název nakladatele

Masaryk University

Místo vydání

Znojmo

Místo konání akce

Znojmo

Datum konání akce

14. 11. 2008

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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