Discrete Gaussian sampling for low-power devices

@article{More2015DiscreteGS,
  title={Discrete Gaussian sampling for low-power devices},
  author={Shruti More and Raj Katti},
  journal={2015 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)},
  year={2015},
  pages={181-186}
}
Sampling from the discrete Gaussian probability distribution is used in lattice-based cryptosystems. A need for faster and memory-efficient samplers has become a necessity for improving the performance of such cryptosystems. We propose a new algorithm for sampling from the Gaussian distribution that can efficiently change on-the-fly its speed/memory requirement. The Ziggurat algorithm that attempted to do this requires up to 1000 seconds of computation time to change memory requirements on-the… CONTINUE READING

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