The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Workshop: 2023 International Workshop on Performance, Portability, and Productivity in HPC (P3HPC)
Authors: Jun Chen, Xule Zhou, and Hyesoon Kim (Georgia Institute of Technology)
Abstract: The proliferation of artificial intelligence applications has underscored the need for increased portability among graphic processing units (GPUs) from different vendors. With CUDA as one of the most popular GPU programming languages, CuPBoP (CUDA for Parallelized and Broad-range Processors) aims to provide NVIDIA's proprietary CUDA language support to a variety of GPU and CPU platforms by translating CUDA programs at the LLVM/NVVM IR level. Our work extends CuPBoP to AMD GPUs as CuPBoP-AMD. CuPBoP-AMD is a CUDA translator that translates CUDA programs at NVVM IR level to HIP-compatible IR that can run on AMD GPUs. Currently, CuPBoP-AMD translates a broader range of applications in the Rodinia benchmark suite while maintaining approximately equal performance than the existing state-of-the-art AMD-developed translator, HIPIFY, without requiring programmer intervention.