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《Journal of Zhejiang University(Engineering Science)》 2017-01
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GPU acceleration for network-on-chip yield evaluation

LAN Fan;PAN Yun;YAN Xiao-lang;HUAN Ruo-hong;CHENG Kwang-ting;College of Electrical Engineering,Zhejiang University;College of Information Science and Electronic Engineering,Zhejiang University;College of Computer Science and Technology,Zhejiang University of Technology;Electrical Computer Engineering,University of California;  
A speedup method based on GPU platform was presented in order to improve the efficiency of the time-consuming NoC yield evaluation algorithm.The runtime efficiency was improved.The evaluation algorithm was ported to GPU platform.GPU was not suitable for generating samples based on the random number generation comparison between GPU and CPU platform.The sample generation algorithm was optimized on CPU,making it more suitable to cooperate with GPU.A heterogeneous parallel algorithm was proposed,in which CPU generates the random samples and GPU analyzes the generated samples.The proposed algorithm achieved 10 xspeedup compared to the algorithm running on purely CPU.
【Fund】: 浙江省自然科学基金资助项目(LY15F020008);; 国家自然科学基金资助项目(61204030;61302129);; 浙江省科技厅公益性技术应用研究计划资助项目(2014C31045)
【CateGory Index】: TN47
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