I try to build a training session on GPU programming (including kernel programming) and I want to use Julia and CUDA.jl as a development environment. Profiling is an essential tool for GPGPU and I think that profiling tools and profile based development is a very important topic to be covered in a GPU lecture.
I have followed this (excellent) video by @maleadt
and I have two questions:
- Is their other (newest) video for GPU profiling for CUDA.jl ?
- Is it possible to get source related profile with CUDA.jl similar to what you can get via the
-lineinfonvcc’s option and nsight compute profiling software ?