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Parallel Implementation of the Non-Overlapping Template Matching Test Using CUDA
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作者 Kaikai Li Jianguo Zhang +2 位作者 Pu Li Anbang Wang Yuncai Wang 《China Communications》 SCIE CSCD 2020年第8期234-241,共8页
NIST(National Institute of Standards and Technology) statistical test recognized as the most authoritative is widely used in verifying the randomness of binary sequences. The Non-overlapping Template Matching Test as ... NIST(National Institute of Standards and Technology) statistical test recognized as the most authoritative is widely used in verifying the randomness of binary sequences. The Non-overlapping Template Matching Test as the 7 th test of the NIST Test Suit is remarkably time consuming and the slow performance is one of the major hurdles in the testing process. In this paper, we present an efficient bit-parallel matching algorithm and segmented scan-based strategy for execution on Graphics Processing Unit(GPU) using NVIDIA Compute Unified Device Architecture(CUDA). Experimental results show the significant performance improvement of the parallelized Non-overlapping Template Matching Test, the running speed is 483 times faster than the original NIST implementation without attenuating the test result accuracy. 展开更多
关键词 random numbers CUDA non-overlapping template matching test parallel implementation NIST test
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