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面向隐私计算的模运算加速设计

Design of modular arithmetic acceleration for privacy computing
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摘要 隐私计算技术是数据中心保证数据安全的重要手段,随着量子计算的发展,基于格的后量子算法和全同态加密算法逐步发展流行。在这些算法中,模运算都是广泛使用的非线性算子之一,主要用于避免计算过程中出现溢出。面向隐私计算及密码学应用中广泛使用的模运算问题,在FPGA平台上基于PCIe接口设计实现了一个软硬件协同加速设计,能够有效掩盖通信延迟,并支持高达2048位的模运算,包括模乘和模幂运算,以服务于有隐私计算需求的数据中心场景。已有研究工作都仅关注模运算本身,而此软硬件协同框架则给出了一个完整的加速框架,不仅包含运算核心,还给出了数据和软硬件接口,并减少了通信延迟的影响。最后结合一个具体的运营商场景,实现了针对性的加速应用,通过实验验证了设计的性能优势。 Privacy computing technology serves as a crucial means to ensure data security in data centers.With the advancement of quantum computing,lattice-based post-quantum algorithms and fully homomorphic encryption algorithms have gradually gained prominence.In these algorithms,modular arithmetic serves as one of the widely used nonlinear operations,primarily employed to prevent overflow during computations.This paper addresses the extensively utilized modular arithmetic in privacy computing and cryptographic applications,proposing a hardware-software co-design acceleration framework implemented on FPGA platforms via PCIe interfaces.The framework effectively masks communication latency and supports modular operations of up to 2048 bits—including modular multiplication and modular exponentiation—to serve data center scenarios with privacy computing requirements.While existing researches primarily focus on modular operations themselves,our co-designed framework delivers a comprehensive acceleration solution that encompasses not only computational cores but also data interfaces,hardware-software interaction mechanisms,and optimized communication latency mitigation.Finally,we implement a tailored acceleration application for a specific telecom operator scenario,experimentally demonstrating the performance advantages of the proposed system.
作者 刘宏伟 支梁 秦梦远 陈铭志 董文阔 郝沁汾 LIU Hongwei;ZHI Liang;QIN Mengyuan;CHEN Mingzhi;DONG Wenkuo;HAO Qinfen(Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100095;Wuxi Institute of Interconnect Technology,Wuxi 214100,China)
出处 《计算机工程与科学》 北大核心 2025年第8期1331-1342,共12页 Computer Engineering & Science
基金 国家重点研发计划(2022YFB4401501) 江苏省重点研发计划(BE2023006-4)。
关键词 隐私计算 模乘 模幂 软硬件协同 RSA privacy computing modular multiplication modular exponentiation hardware-software co-design RSA
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