Load Balancing Algorithm of GPU Based on Genetic Algorithm

Zhang Xiang Yang

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


Keywords


reverse-time migration genetic algorithm load balancing GPU / CPU heterogeneous parallel computing GPU Server

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Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

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