Abstract:Discrete Gaussian sampling is a fundamental building block of lattice-based cryptography. Sampling from a Gaussian distribution ℤ, , over the integers ℤ is an important sub-problem of discrete Gaussian sampling, where parameter σ > 0 and center c ∈ ℝ. In this paper, we show that two common sampling algorithms for discrete Gaussian distribution over the integers can be implemented more efficiently by using vectorization with SIMD (Single Instruction Multiple Data) support. Specifically, we use the VCL (C++ vect… Show more
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