Paper 2024/707
Towards a Polynomial Instruction Based Compiler for Fully Homomorphic Encryption Accelerators
Abstract
Fully Homomorphic Encryption (FHE) is a transformative technology that enables computations on encrypted data without requiring decryption, promising enhanced data privacy. However, its adoption has been limited due to significant performance overheads. Recent advances include the proposal of domain-specific, highly-parallel hardware accelerators designed to overcome these limitations. This paper introduces PICA, a comprehensive compiler framework designed to simplify the programming of these specialized FHE accelerators and integration with existing FHE libraries. PICA leverages a novel polynomial Instruction Set Architecture (p-ISA), which abstracts polynomial rings and their arithmetic operations, serving as a fundamental data type for the creation of compact, efficient code embracing high-level operations on polynomial rings, referred to as kernels, e.g., encompassing FHE primitives like arithmetic and ciphertext management. We detail a kernel generation framework that translates high-level FHE operations into pseudo-code using p-ISA, and a subsequent tracing framework that incorporates p-ISA functionalities and kernels into established FHE libraries. Additionally, we introduce a mapper to coordinate multiple FHE kernels for optimal application performance on targeted hardware accelerators. Our evaluations demonstrate PICA's efficacy in creation of compact and efficient code, when compared with an x64 architecture. Particularly in managing complex FHE operations such as relinearization, where we observe a 25.24x instruction count reduction even when a large batch size (8192) is taken into account.
Metadata
- Available format(s)
- Category
- Applications
- Publication info
- Preprint.
- Keywords
- Fully Homomorphic EncryptionCompilersKernelsInstruction Set ArchitectureTracingPrivacy Technologies
- Contact author(s)
-
sejun kim @ intel com
wen wang @ intel com
duhyeong kim @ intel com
adish vartak @ intel com
michael steiner @ intel com
rosario cammarota @ intel com - History
- 2024-05-10: approved
- 2024-05-07: received
- See all versions
- Short URL
- https://ia.cr/2024/707
- License
-
CC0
BibTeX
@misc{cryptoeprint:2024/707, author = {Sejun Kim and Wen Wang and Duhyeong Kim and Adish Vartak and Michael Steiner and Rosario Cammarota}, title = {Towards a Polynomial Instruction Based Compiler for Fully Homomorphic Encryption Accelerators}, howpublished = {Cryptology {ePrint} Archive, Paper 2024/707}, year = {2024}, url = {https://eprint.iacr.org/2024/707} }