Enhancing GPU Performance for SHA-3 Algorithm: Optimizing Hashing Operations in a Parallel Computing Environment

Software implementation of Hash function have not been able to offer satisfactory performances for various application thus far. Additionally, SHA-3 and SHAKE, which utilize SHA-3, are extensively utilized in many Post Quantum Cryptosystem (PQC) . Therefore, there is a need research optimize the software environments. Our proposal involves an optimized on GPU environment. To improve performance efficiency, we suggest techniques such as optimizing internal processes inline PTX optimization, efficient memory usage, asynchronous CUDA stream application. After implementing these optimization methods, our SHA-3(512) (and SHA-3(256)) algorithm provides maximum throughput 88.51 Gb/s 171.62 Gb/s) RTX2080Ti without stream. The aims environment enhance efficiency. suggested include process applying SHA-3(256) algorithms provide Gb/s, respectively,