Optimizing Code for Graphics Processing Units

Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F11%3APU96158" target="_blank" >RIV/00216305:26230/11:PU96158 - 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
Optimizing Code for Graphics Processing Units
Popis výsledku v původním jazyce
Graphics processing units (GPUs) are suitable for acceleration of many difficult scientific tasks. Several high-level languages for GPU have become available such as CUDA and OpenCL and GPU technology is rapidly advancing. This paper presents methods for the code optimization for general purpose computation on GPUs (GPGPU). Architecture of the GPU is briefly introduced as well as experiments leading to conclusions about factors mostly affecting their performance. Paper is concluded with the aim of PhD thesis.
Název v anglickém jazyce
Optimizing Code for Graphics Processing Units
Popis výsledku anglicky
Graphics processing units (GPUs) are suitable for acceleration of many difficult scientific tasks. Several high-level languages for GPU have become available such as CUDA and OpenCL and GPU technology is rapidly advancing. This paper presents methods for the code optimization for general purpose computation on GPUs (GPGPU). Architecture of the GPU is briefly introduced as well as experiments leading to conclusions about factors mostly affecting their performance. Paper is concluded with the aim of PhD thesis.

Projekt
<a href="/cs/project/GAP103%2F10%2F1517" target="_blank" >GAP103/10/1517: Natural computing na nekonvenčních platformách</a><br>
Návaznosti
Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění
2011
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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