AES finalists implementation for GPU and multi-core CPU based on OpenCL

Xingliang Wang, Xiaochao Li, Mei Zou, Jun Zhou
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引用次数: 20

Abstract

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.
基于OpenCL的GPU和多核CPU的AES最终实现
得益于OpenCL(开放计算语言),应用程序可以轻松地在不同的gpu、多核cpu和其他处理器之间移植。在本文中,我们提出了基于OpenCL在XTS模式下实现AES决赛(Rijndael, Serpent, Twofish)。在4个主流gpu和多核cpu上进行基准测试。结果还与基于传统串行编程模型和CUDA的实现进行了比较。结果表明,基于OpenCL的吞吐量高于串行编程模型,而略低于CUDA。这表明OpenCL承诺为GPU编程提供一种可移植的语言,但会带来性能损失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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