Processing math: 0%
Silicon-Proven ASIC Design for the Polynomial Operations of Fully Homomorphic Encryption | IEEE Journals & Magazine | IEEE Xplore

Silicon-Proven ASIC Design for the Polynomial Operations of Fully Homomorphic Encryption


Abstract:

In this work, we elaborate on our endeavors to design, implement, fabricate, and post-silicon validate CoFHEE (Nabeel et al., 2023), a co-processor for low-level polynomi...Show More

Abstract:

In this work, we elaborate on our endeavors to design, implement, fabricate, and post-silicon validate CoFHEE (Nabeel et al., 2023), a co-processor for low-level polynomial operations targeting fully homomorphic encryption execution. With a compact design area of 12 {\mathrm{ mm}}^{2} , CoFHEE features ASIC implementations of fundamental polynomial operations, including polynomial addition and subtraction, Hadamard product, and number theoretic transform, which underlie most higher-level FHE primitives. CoFHEE is capable of natively supporting polynomial degrees of up to n = 2^{14} with a coefficient size of 128 bits, and has been fabricated and silicon-verified using 55-nm CMOS technology. To evaluate it, we conduct performance and power experiments on our chip, and compare it to state-of-the-art software implementations and other ASIC designs.
Page(s): 1924 - 1928
Date of Publication: 29 January 2024

ISSN Information:

Funding Agency:


Contact IEEE to Subscribe

References

References is not available for this document.