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Zhang Xiang Yang
PetroChina Research Institute of Petroleum Exploration &Development-Northwest

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Load Balancing Algorithm of GPU Based on Genetic Algorithm Zhang Xiang Yang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 6: June 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

As the development of GPU/CPU parallel computing in recent years, load balance of GPU server has been more and more important, so we promote a genetic algorithm-based load balancing algorithm for GPU RTM. The algorithm takes the server status and job assignment into account, and design a coding mechanism and genetic manipulation, as well as fitness function. The experiments show that,the algorithm can reach a better effect of efficiency and load-balancing. It can hidden data transmission in the parallel computing, and during server downtime, it can prevent the idle of other computing resources. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.4531
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