A Comparison of SYCL, OpenCL, CUDA, and OpenMP for Massively Parallel Support Vector Machine Classification on Multi-Vendor Hardware
Marcel Breyer, Alexander Van Craen, Dirk Pflüger · International Workshop on OpenCL · 2022
In scientific computing and Artificial Intelligence (AI), which both rely on massively parallel tasks, frameworks like the Compute Unified Device Architecture (CUDA) and the Open Computing Language (OpenCL) are widely used to harvest the computational power of accelerator cards, in particular of Graphics Processing Units (GPUs). A few years ago, GPUs from NVIDIA were used almost exclusively for these tasks but meanwhile, AMD and Intel are increasing their shares of the GPUs market. This introduces many new challenges for code development, as the prevailing CUDA code can only run on NVIDIA hardware and must be adapted or even completely rewritten to run on GPUs from AMD or Intel.