P-AES: Advanced Encryption Standard Parallel Optimization on MGPUSim

Advanced Encryption Standard (AES), as one of the most popular encryption algorithms, has been widely studied on single GPU and CPU. However, the research on multi-GPU platforms is not deep enough, and with the rapid increase in data size, it is difficult for single-GPU platforms to meet the demand for high-performance computing. To solve this problem, this paper presents a novel AES parallelization study "P-AES" on MGPUSim, including its parallel execution mechanism as well as architectural design. In addition, we modify the instruction set of MGPUSim along with thread optimization to save memory overhead, increase data access speed, and improve system performance by loading S-boxes and key extension arrays from global memory to shared memory. The experimental results show that: (1) P-AES performs well on MGPUSim, achieving an average speedup of 1.5×-1.7× compared to the AES implementation using CUDA kernels, and a speedup of 2.75× compared to M-AES (the unoptimized AES on MGPUSim). (2) By conducting encryption experiments on plaintext data of varying sizes, we found that P-AES exhibits high stability and throughput. Compared to the modern sliced AES, the P-AES algorithm achieves a throughput of up to 812 Gbps, which is 1.3 times that of their implementation and 2.74 times that of M-AES.