DocumentCode :
130216
Title :
Parallel UCT search on GPUs
Author :
Barriga, Nicolas A. ; Stanescu, Miruna ; Buro, Michael
Author_Institution :
Dept. of Comput. Sci., Univ. of Alberta, Edmonton, AB, Canada
fYear :
2014
fDate :
26-29 Aug. 2014
Firstpage :
1
Lastpage :
7
Abstract :
We propose two parallel UCT search (Upper Confidence bounds applied to Trees) algorithms that take advantage of modern GPU hardware. Experiments using the game of Ataxx are conducted, and the algorithm´s speed and playing strength is compared to sequential UCT running on the CPU and Block Parallel UCT that runs its simulations on a GPU. Empirical results show that our proposed Multiblock Parallel algorithm outperforms other approaches and can take advantage of the GPU hardware without the added complexity of searching multiple trees.
Keywords :
Monte Carlo methods; computer games; graphics processing units; parallel algorithms; search problems; trees (mathematics); Ataxx game; GPU hardware; block parallel UCT; graphics processing unit; multiblock parallel algorithm; parallel UCT search algorithm; upper confidence bounds applied to trees; Games; Graphics processing units;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Games (CIG), 2014 IEEE Conference on
Conference_Location :
Dortmund
Type :
conf
DOI :
10.1109/CIG.2014.6932879
Filename :
6932879
Link To Document :
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