Hardware Accelerator For Fully Homomorphic Encryption


A technical paper titled “CraterLake: A Hardware Accelerator for Efficient Unbounded Computation on Encrypted Data” was published by researchers at MIT, IBM TJ Watson, SRI International, and University of Michigan.

“We present CraterLake, the first FHE accelerator that enables FHE programs of unbounded size (i.e., unbounded multiplicative depth). Such computations require very large ciphertexts (tens of MBs each) and different algorithms that prior work does not support well. To tackle this challenge, CraterLake introduces a new hardware architecture that efficiently scales to very large cipher-texts, novel functional units to accelerate key kernels, and new algorithms and compiler techniques to reduce data movement,” states the paper.

Find the technical paper here and related video here. Published June 2022.

Nikola Samardzic, Axel Feldmann, Aleksandar Krastev, Nathan Manohar,
Nicholas Genise, Srinivas Devadas, Karim Eldefrawy, Chris Peikert, and Daniel
Sanchez. 2022. CraterLake: A Hardware Accelerator for Efficient Unbounded
Computation on Encrypted Data. In The 49th Annual International Symposium on Computer Architecture (ISCA ’22), June 18-22, 2022, New York, NY,
USA. ACM, New York, NY, USA, 15 pages. https://doi.org/10.1145/3470496.

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