Prepare for loads of reverse-engineering, as there are binary-only CUDA kernels in applications. This does tend to break when new GPUs come out, but a software

Prepare for loads of reverse-engineering, as there are binary-only CUDA kernels in applications. This does tend to break when new GPUs come out, but a software update takes care of that. I assume some do that for obfuscation, while others are certainly using it for performance, see e.g. https://github.com/bryancatanzaro/nervana-lib-gpu-performance-preview https://github.com/bryancatanzaro/nervana-lib-gpu-performanc... for some practical-ish examples.