基于GPU的高性能密码计算  

High-Performance Cryptographic Computations in GPUs

作　　者：郑昉昱 董建阔 林璟锵[1,2,3] 高莉莉 Zheng Fangyu;Dong Jiankuo;Lin Jingqiang;Gao Lili(Data Assurance and Communication Security Research Center,Chinese Academy of Sciences,Beijing 100093;State Key Laboratory of Information Security (Institute of Information Engineering,Chinese Academy of Sciences),Beijing 100093;School of Cyber Security,University of Chinese Academy of Sciences,Beijing 100049)

机构地区：[1]中国科学院数据与通信保护研究教育中心,北京100093 [2]信息安全国家重点实验室(中国科学院信息工程研究所),北京100093 [3]中国科学院大学网络空间安全学院,北京100049

出　　处：《信息安全研究》2019年第1期88-96,共9页Journal of Information Security Research

基　　金：国家自然科学基金项目(61772518);国家重点研发计划网络空间安全重点专项(2017YFB0802100)

摘　　要：密码技术是保障网络安全的重要基石和工具.近年来,随着大数据行业、电子商务和云计算技术的持续快速发展,各个服务商面对的用户量、业务量和相应的密码计算量也在急速地攀升;面向这一情况,研究人员开始打破密码算法由CPU,ASIC,FPGA实现的传统格局,将密码算法迁移至GPU等各类并行计算平台上.受到高分辨率图形渲染、人工智能的巨大需求所带动,GPU在过去10年获得超过10倍的计算性能提升,大幅领先于其他计算平台.这也使得基于GPU的高性能算法实现的性能远超其他平台的同类实现,显示出了GPU在密码算法实现领域的巨大潜能.内容主要包括2部分:一是总结基于GPU的高性能密码计算的发展和研究现状;二是简要分析它未来的发展趋势.Cryptology is an important foundation and tool of network security.In recent years,with the continuous and rapid development of big data industry,e-commerce and cloud computing,the amount of users,traffic volumes and the corresponding cryptographic calculations faced by various service providers are also rapidly rising.In response to this situation,researchers began to break the conventional pattern that cryptographic algorithms were implemented by CPUs,ASICs,and FPGAs,migrate them to various parallel computing platforms,such as graphics processing units(GPUs).Driven by huge demand of graphics rendering,artificial intelligence,etc.,GPUs gain more than ten times of the computing power promotion over the last decade.Such performance advantages help the GPU-based cryptography implementations outperform others by a wide margin,and give them great potential.This paper summarizes the current progress of the GPU-based cryptography implementation,and gives a brief analysis of its development tendency.

关 键 词：图形处理器 RSA 椭圆曲线密码学 密码计算 并行计算 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]