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A parallel design of computer Go engine on CUDA-enabled GPU

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2 Author(s)
Qifei Zhang ; Sch. of Software, Beijing Univ. of Posts & Telecommun., Beijing, China ; Zhiqing Liu

With the rapid growth of Graphics Processing Unit (GPU) processing capability, using GPU as a coprocessor to assist the CPU in parallel computing has become indispensable. CUDA (Compute Unified Device Architecture) programming model also gives C/C++ language support which makes programming easily. This paper details how to design an engine of computer Go with Monte-Carlo algorithm which is based on GPU with Fermi architecture. We analyze the characteristics of Monte-Carlo algorithm, combined with the CUDA architecture features, divide the algorithm into various sub-modules for GPU computing fast and easily.

Published in:

Cloud Computing and Intelligence Systems (CCIS), 2011 IEEE International Conference on

Date of Conference:

15-17 Sept. 2011