2016
DOI: 10.1007/978-3-319-29172-7_10
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On the Efficiency of Polynomial Multiplication for Lattice-Based Cryptography on GPUs Using CUDA

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Cited by 12 publications
(5 citation statements)
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“…Nejatollahi et al [38] outline two different works that optimize the NTT using an Nvidia GPU. The first reports higher throughput polynomial multiplication [39] and the second is a performance evaluation between several versions of the NTT, including iterative NTT, parallel NTT, and CUDA-based FFT (cuFFT) for different polynomial sizes [40]. Strictly algorithmic optimizations of the NTT are presented in other works [41,42].…”
Section: Implementation Of Pqc Algorithms For Pkimentioning
confidence: 99%
See 1 more Smart Citation
“…Nejatollahi et al [38] outline two different works that optimize the NTT using an Nvidia GPU. The first reports higher throughput polynomial multiplication [39] and the second is a performance evaluation between several versions of the NTT, including iterative NTT, parallel NTT, and CUDA-based FFT (cuFFT) for different polynomial sizes [40]. Strictly algorithmic optimizations of the NTT are presented in other works [41,42].…”
Section: Implementation Of Pqc Algorithms For Pkimentioning
confidence: 99%
“…However, one drawback of using power-of-2 moduli is the inability to take advantage of faster NTT multiplication since the moduli are not prime. As described above, Akleylek et al [40] examines the performance of different multiplication techniques. By implementing a version of cuFFT in a similar fashion for SABER, we may observe a speedup in polynomial multiplication.…”
Section: Implementation Of Pqc Algorithms For Pkimentioning
confidence: 99%
“…Nejatollahi et al [39] outline two different works that optimize the NTT using an Nvidia GPU. The first reports higher throughput polynomial multiplication [40] and the second is a performance evaluation between several versions of the NTT, including iterative NTT, parallel NTT, and CUDA-based FFT (cuFFT) for different polynomial sizes [41]. Strictly algorithmic optimizations of the NTT are presented in other works [42][43].…”
Section: Implementation Of Pqc Algorithms For Pkimentioning
confidence: 99%
“…However, one drawback of using power-of-2 moduli is the inability to take advantage of faster NTT multiplication since the moduli are not prime. As described above, Akleylek et al [41] examines the performance of different multiplication techniques. By implementing a verison of cuFFT in a similar fashion for SABER, we may observe a speedup in polynomial multiplication.…”
Section: Implementation Of Pqc Algorithms For Pkimentioning
confidence: 99%
See 1 more Smart Citation