@inproceedings{e4e7278e2ec84001bc0a79a7d401db8e,
title = "CoFHEE: A Co-processor for Fully Homomorphic Encryption Execution",
abstract = "In this paper, we present the blueprint of a specialized co-processor for Fully Homomorphic Encryption, dubbed CoFHEE. With a small design area of 12mm2, CoFHEE incorporates ASIC implementations of fundamental polynomial operations, such as polynomial addition and subtraction, Hadamard product, and Number Theoretic Transform, which are underneath all higher-level FHE primitives. CoFHEE has native support of polynomial degrees of up to n=214 with a coefficient size of 128 bits. We evaluate our chip with performance and power experiments and compare it against state-of-the-art software implementations and other ASIC designs. A more elaborate description of the CoFHEE design can be found in [1].",
keywords = "ASIC, Co-processor, Data privacy, Encrypted computation, Fully Homomorphic Encryption",
author = "Mohammed Nabeel and Deepraj Soni and Mohammed Ashraf and Gebremichael, \{Mizan Abraha\} and Homer Gamil and Eduardo Chielle and Ramesh Karri and Mihai Sanduleanu and Michail Maniatakos",
note = "Publisher Copyright: {\textcopyright} 2023 EDAA.; 2023 Design, Automation and Test in Europe Conference and Exhibition, DATE 2023 ; Conference date: 17-04-2023 Through 19-04-2023",
year = "2023",
doi = "10.23919/DATE56975.2023.10137020",
language = "British English",
series = "Proceedings -Design, Automation and Test in Europe, DATE",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 Design, Automation and Test in Europe Conference and Exhibition, DATE 2023 - Proceedings",
address = "United States",
}