MAD: Memory-Aware Design Techniques for Accelerating Fully Homomorphic Encryption

Rashmi Agrawal 0001, Leo de Castro, Chiraag Juvekar, Anantha P. Chandrakasan, Vinod Vaikuntanathan, Ajay Joshi. MAD: Memory-Aware Design Techniques for Accelerating Fully Homomorphic Encryption. In Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2023, Toronto, ON, Canada, 28 October 2023 - 1 November 2023. pages 685-697, ACM, 2023. [doi]

@inproceedings{0001CJCVJ23,
  title = {MAD: Memory-Aware Design Techniques for Accelerating Fully Homomorphic Encryption},
  author = {Rashmi Agrawal 0001 and Leo de Castro and Chiraag Juvekar and Anantha P. Chandrakasan and Vinod Vaikuntanathan and Ajay Joshi},
  year = {2023},
  doi = {10.1145/3613424.3614302},
  url = {https://doi.org/10.1145/3613424.3614302},
  researchr = {https://researchr.org/publication/0001CJCVJ23},
  cites = {0},
  citedby = {0},
  pages = {685-697},
  booktitle = {Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2023, Toronto, ON, Canada, 28 October 2023 - 1 November 2023},
  publisher = {ACM},
}