计算机科学 ›› 2015, Vol. 42 ›› Issue (1): 59-62.doi: 10.11896/j.issn.1002-137X.2015.01.013
• 2013年全国理论计算机科学学术年会 • 上一篇 下一篇
费雄伟,李肯立,阳王东,杜家宜
FEI Xiong-wei, LI Ken-li, YANG Wang-dong and DU Jia-yi
摘要： 网络应用服务(尤其是电子银行和电子商务)需要数据加密提供安全通信。很多应用服务器面临着执行大量计算稠密的加密挑战。CUDA(统一计算架构)是在GPU进行并行和通用计算的平台,能够利用现有显卡资源,以低成本的方式提升加密性能。在Nvidia GeForce G210显卡上实现CUDA的AES(高级加密标准)并行算法并且在AMD Athlon 7850上实现串行AES算法。实现的AES并行算法避免了同一线程块的线程同步和通信,提升了GPU的加速性能,加速比要比Manavski的AES-128并行算法提升2.66～3.34倍。在大数据量(至32MB)加密环境下探索AES并行算法的性能模型,并首次从加速效率角度分析加速性能。该并行AES算法在16核的GPU上能最高达到15.83倍的加速比和99.898%的加速效率。
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