SoK: Fully Homomorphic Encryption Accelerators

被引:0
|
作者
Zhang, Junxue [1 ,2 ]
Cheng, Xiaodian [1 ]
Yang, Liu [1 ,2 ]
Hu, Jinbin [1 ]
Liu, Ximeng [3 ]
Chen, Kai [1 ]
机构
[1] Hong Kong Univ Sci & Technol, Hong Kong, Peoples R China
[2] Clustar, Hong Kong, Peoples R China
[3] Fuzhou Univ, Fuzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
Fully homomorphic encryption; accelerator;
D O I
10.1145/3676955
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Fully Homomorphic Encryption (FHE) is a key technology enabling privacy-preserving computing. However, the fundamental challenge of FHE is its inefficiency, due primarily to the underlying polynomial computations with high computation complexity and extremely time-consuming ciphertext maintenance operations. To tackle this challenge, various FHE accelerators have recently been proposed by both research and industrial communities. This article takes the first initiative to conduct a systematic study on the 14 FHE accelerators: cuHE/cuFHE, nuFHE, HEAT, HEAX, HEXL, HEXL-FPGA, 100x, F1, CraterLake, BTS, ARK, Poseidon, FAB, and TensorFHE. We first make our observations on the evolution trajectory of these existing FHE accelerators to establish a qualitative connection between them. Then, we perform testbed evaluations of representative open-source FHE accelerators to provide a quantitative comparison on them. Finally, with the insights learned from both qualitative and quantitative studies, we discuss potential directions to inform the future design and implementation for FHE accelerators.
引用
收藏
页数:32
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