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Poseidon-NDP: Practical Fully Homomorphic Encryption Accelerator Based on Near Data Processing Architecture
Yang, Yinghao1; Lu, Hang1,2,3; Li, Xiaowei1,2,3
2023-12-01
发表期刊IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
ISSN0278-0070
卷号42期号:12页码:4749-4762
摘要With the development of the important solution for privacy computing-fully homomorphic encryption (FHE), the explosion of data size, and computing intensity in FHE applications brings enormous challenges to the hardware design. In this article, we propose a novel co-design scheme for FHE acceleration named "Poseidon-NDP," which focuses on improving the efficiency of the hardware resource and the bandwidth. Specifically, we investigate the special implications of the hardware imposed by the FHE applications. It empirically shows that the FHE performance is suffered from both the intractable data movement and the computation bottleneck. Besides, we also introduce the opportunity and the challenges of accelerating FHE on near data processing (NDP) architecture. Based on such analysis, we propose an optimized technique called "NTT-fusion" to simplify the FHE operator and reduce its hardware overhead. Then, we design the accelerator based on the simplified operator to achieve maximized data and computation parallelism with limited hardware resources. Additionally, we evaluate Poseidon-NDP with 4 domain-specific FHE applications on the SmartSSD, which is a practical NDP device. The empirical studies show that the efficient co-design enables Poseidon-NDP vastly superior to the state-of-the-art FHE acceleration techniques: 1) up to 217x/84x speedup over CPU and high-performance GPUs for the number theoretic transform; 2) up to 3.7x/29x higher-speedup/energy delay product (EDP) over the SOTA FPGA accelerator for the FHE applications; and 3) up to 4.9x higher-bandwidth utilization over CPU due to the NDP-based architecture.
关键词FPGA accelerator fully homomorphic encryption (FHE) near data processing (NDP) privacy computing
DOI10.1109/TCAD.2023.3292211
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Hardware & Architecture ; Computer Science, Interdisciplinary Applications ; Engineering, Electrical & Electronic
WOS记录号WOS:001123254100033
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/38849
专题中国科学院计算技术研究所
通讯作者Lu, Hang
作者单位1.Chinese Acad Sci, Inst Comp Technol, Beijing 100045, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100190, Peoples R China
3.Shanghai Innovat Ctr Processor Technol, Beijing 100190, Peoples R China
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GB/T 7714
Yang, Yinghao,Lu, Hang,Li, Xiaowei. Poseidon-NDP: Practical Fully Homomorphic Encryption Accelerator Based on Near Data Processing Architecture[J]. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS,2023,42(12):4749-4762.
APA Yang, Yinghao,Lu, Hang,&Li, Xiaowei.(2023).Poseidon-NDP: Practical Fully Homomorphic Encryption Accelerator Based on Near Data Processing Architecture.IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS,42(12),4749-4762.
MLA Yang, Yinghao,et al."Poseidon-NDP: Practical Fully Homomorphic Encryption Accelerator Based on Near Data Processing Architecture".IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS 42.12(2023):4749-4762.
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