GPU Accelerated AES Algorithm

Abstract

It has been widely accepted that Graphics Processing Units (GPUs) is one of promising schemes for encryption acceleration, in particular, the support of complex mathematical calculations such as integer and logical operations makes the implementation easier; however, complexes such as parallel granularity, memory allocation still imposes a burden on real world implementations.In this paper, we propose a benchmarking approach for AES accelerations, including both encryption and decryption. Specifically, we adapt the Electronic Code Book (ECB) mode for cryptographic transformation, Tboxes scheme for fast lookups, and a granularity of 'one state per thread' for thread scheduling. Our benchmarking results offer researchers a good understanding on GPU architectures and software accelerations. In addition, both our source code and experimental results are freely available.