【摘要】 随着高性能计算需求的不断增长,人们开始将目光投向具有强大计算能力及高存储带宽的GPU设备.与擅长处理复杂性逻辑事务的CPU相比,GPGPU(general purpose graphicprocessing unit,通用图形处理器)更适合于大规模数据并行处理.CUDA(compute unified devicearchitecture,统一计算架构)的出现更加速了GPGPU应用面的扩张.基于GPGPU和CUDA技术对AES算法的实现进行加速,得到整体吞吐量6～7Gbit/s的速度.如果不考虑数据加载时间,对于1MB以上的输入规模,吞吐量可以达到20Gbit/s.更多还原

【Abstract】 Compared with the CPU which is good at handling logic complexity service,GPGPU(general purpose graphic processing unit) is suitable for large-scale parallel processing computing.The emergence of CUDA(compute unified device architecture) accelerates the expansion of application of GPGPU.We accelerate the implementation of AES algorithm based on GPGPU and CUDA and achieve a total throughput of 6~7Gbit/s.Regardless of the time of data loading and storing,a throughput of 20Gbit/s towards an input size over 1MB can be achieved.更多还原