This was precisely my conclusion when getting into GPGPU programming two months ago. CUDA maps directly onto Nvidia hardware and its execution pipeline, leading

This was precisely my conclusion when getting into GPGPU programming two months ago. CUDA maps directly onto Nvidia hardware and its execution pipeline, leading to very tight expression of parallel algorithms. OpenCL, in attempting to map onto not just the GPUs of multiple vendors but DSPs and FPGAs, struck me as awash in code for navigating their architectural differences. So I'm developing in CUDA…