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 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.
| Original language | British English |
|---|---|
| Pages (from-to) | 1924-1928 |
| Number of pages | 5 |
| Journal | IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems |
| Volume | 43 |
| Issue number | 6 |
| DOIs | |
| State | Published - 1 Jun 2024 |
Keywords
- ASIC
- co-processor
- data privacy
- encrypted computation
- fully homomorphic encryption (FHE)
Fingerprint
Dive into the research topics of 'Silicon-Proven ASIC Design for the Polynomial Operations of Fully Homomorphic Encryption'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver