Title :
GPU as a General Purpose Computing Resource
Author :
Huang, Qihang ; Huang, Zhiyi ; Werstein, Paul ; Purvis, Martin
Author_Institution :
Dept. of Comput. Sci., Univ. of Otago, Dunedin
Abstract :
In the last few years, GPUs(Graphics Processing Units) have made rapid development. Their ever-increasing computing power and decreasing cost have attracted attention from both industry and academia. In addition to graphics applications, researchers are interested in using them for general purpose computing. Recently, NVIDIA released a new computing architecture, CUDA (compute united device architecture), for its GeForce 8 series, Quadro FX, and Tesla GPU products. This new architecture can change fundamentally the way in which GPUs are used. In this paper, we study the programmability of CUDA and its GeForce 8 GPU and compare its performance with general purpose processors, in order to investigate its suitability for general purpose computation.
Keywords :
computer graphic equipment; computer graphics; microcomputers; CUDA; GeForce 8; compute united device architecture; general purpose computing resource; graphics processing units; Application software; Central Processing Unit; Computer architecture; Computer graphics; Distributed computing; Grid computing; Multicore processing; Pipelines; Programming profession; Rendering (computer graphics);
Conference_Titel :
Parallel and Distributed Computing, Applications and Technologies, 2008. PDCAT 2008. Ninth International Conference on
Conference_Location :
Otago
Print_ISBN :
978-0-7695-3443-5
DOI :
10.1109/PDCAT.2008.38
