摘要
近年来,GPU凭借其超强的并行计算能力,对传统的CPU应用发起了强有力的冲击,目前GPU已经被运用于各种高性能计算中。本文以NVIDIA公司的CUDA架构为例,阐述GPU并行计算在口令恢复方面的应用,并分类概括GPU并行编程的优化方式以及相应的案例说明。实验结果表明优化后的GPU程序性能是CPU程序性能的300倍左右。
Due to its powerful ability of paralleling computation,GPU has heavily shaked CPU's traditional application in recent years.It has been applied to many kinds of computation.In this paper,we take NVIDIA's GPU,CUDA architecture,as an example,tell about GPU's application in password recovery,and summarize several ways to optimize GPU application.In the end,we carry out a testing,and the result shows that the GPU application gains an about 300 times performance than the CPU application.
出处
《电信科学》
北大核心
2010年第S2期24-28,共5页
Telecommunications Science
关键词
GPU
并行计算
口令恢复
GPU,paralleling computation,password recovery
