会议专题

AES Finalists Implementation for GPU and Multicore CPU based on OpenCL

Benefit from the OpenCL (Open Computing Language), applications can be easily transplanted among different GPUs, multi-core CPUs, and other processors. In this paper, we present implementation of AES finalists (Rijndael, Serpent, Twofish) in XTS mode, based on OpenCL. Benchmark testing is performed on 4 mainstream GPUs and multi-core CPUs. The results are also compared with implementations based on traditional serial programming model and CUDA. The resulting data shows that throughputs based on OpenCL are higher than serial programming model, while a little lower than CUDA. Which demonstrates that OpenCL promises a portable language for GPU programming, while entail a performance penalty.

OpenCL GPU Rijndael Serpent Twofish XTS

Xingliang Wang Xiaochao Li Mei Zou Jun Zhou

Department of Electronic Engineering,Xiamen University,Xiamen, China, 361005 Department of Electronic Engineering, Xiamen University, Xiamen, China, 361005

国际会议

2011 IEEE International Conference on Anti-Counterfeiting Security and Identification(2011防伪、安全及鉴定国际会议 ASID2011)

厦门

英文

38-42

2011-06-24(万方平台首次上网日期,不代表论文的发表时间)