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Title:
NTRU Modular Lattice Signature Scheme on CUDA GPUs
Authors: Wei Dai, John Schanck, Berk Sunar, William Whyte, Zhenfei Zhang
Abstract:In this work we show how to use Graphics Processing Units (GPUs) with Compute Unified Device Architecture (CUDA) to accelerate a lattice based signature scheme, namely, the NTRU modular lattice signature (NTRU-MLS) scheme. Lattice based schemes require operations on large vectors that are perfect candidates for GPU implementations. In addition, similar to most lattice based signature schemes, NTRU-MLS provides transcript security with a rejection sampling technique. With a GPU implementation, we are able to generate many candidates simultaneously, and hence mitigate the performance slowdown from rejection sampling. Our implementation results show that for the original NTRU-MLS parameter sets, we obtain a 2x improvement in the signing speed; for the revised parameter sets, where acceptance rate of rejection sampling is down to around 1%, our implementation can be as much as 47x faster than a CPU implementation.
ePrint: https://eprint.iacr.org/2016/471
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