Programming Tutorials

  Enterprise GPU computing is undergoing a massive architectural shift. For years, machine learning pipelines and high-performance computing (HPC) workloads have been deeply coupled to NVIDIA hardware via CUDA. However, supply chain constraints, hardware costs, and the desire for multi-vendor strategies have driven a need to break vendor lock-in. Organizations are increasingly looking to deploy on Intel Data Center GPUs (like Ponte Vecchio) or AMD Instinct accelerators. The target standard for this cross-platform portability is SYCL. Unfortunately, executing a manual CUDA to SYCL migration across millions of lines of proprietary code is prohibitively expensive, slow, and highly susceptible to synchronization bugs. To achieve NVIDIA to Intel GPU porting at an enterprise scale, automated code translation is mandatory. This guide covers the architectural transition and the practical application of the Intel oneAPI DPC++ tool (commonly known as the  dpct  compatibility tool)....