GPU Accelerated AES Algorithm

TL;DR

This paper presents a GPU-based implementation of AES encryption and decryption using a novel approach that leverages the Electronic Code Book mode, lookup tables, and fine-grained thread scheduling to improve performance.

Contribution

It introduces a new GPU-accelerated AES method with optimized thread granularity and lookup tables, enhancing encryption speed and efficiency.

Findings

Achieved significant speedup over CPU implementations

Demonstrated effective use of GPU architecture for cryptography

Provided open-source code and comprehensive experimental data

Abstract

It has been widely accepted that Graphics Processing Units (GPU) 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 new approach for Advanced Encryption Standard accelerations, including both encryption and decryption. Specifically, we adapt the Electronic Code Book mode for cryptographic transformation, look up table scheme for fast lookup, and a granularity of one state per thread for thread scheduling. Our experimental results offer researchers a good understanding on GPU architectures and software accelerations. In addition, both our source code and experimental results are freely available.