摘要
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.
基金
supported in part by Shanxi Scholarship Council of China(Grant No.2017-key-2)
the Natural Science Foundation of Shanxi Province(Grant No.201801D121145)
the Natural Science Foundation of China(NSFC)(Grant No.61731014,61705157,61927811)
the Program for Guangdong Introducing Innovative and Entrepreneurial Teams。
