A Parallel GPU Implementation of SWIFFTX
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 1611-3349, Vol: 11989 LNCS, Page: 202-217
2020
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Conference Paper Description
The SWIFFTX algorithm is one of the candidates of SHA-3 Hash Competition that uses the number theoretic transform (NTT). It has 256-byte input blocks and 65-byte output blocks. In this paper, a parallel implementation of the algorithm and particular techniques to make it faster on GPU are proposed. We target version 6.1 of NVIDIACUDAcompute architecture that employs an ISA (Instruction Set Architecture) called Parallel Thread Execution (PTX) which possesses special instrinsics, hence we modify the reference implementation for better results. Experimental results indicate almost 10x improvement in speed and 5 W decrease in power consumption per 2 hashes.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85083701099&origin=inward; http://dx.doi.org/10.1007/978-3-030-43120-4_16; http://link.springer.com/10.1007/978-3-030-43120-4_16; http://link.springer.com/content/pdf/10.1007/978-3-030-43120-4_16; https://dx.doi.org/10.1007/978-3-030-43120-4_16; https://link.springer.com/chapter/10.1007/978-3-030-43120-4_16
Springer Science and Business Media LLC
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