accelerate-llvm VS raymarcher-benchmarks

So, I've been working on using this library: https://github.com/AccelerateHS/accelerate-llvm to do GPU programming, and it's really fun, but the problem is that for some reason my machine won't use 100% of the GPU cores (according to nvtop) and I don't know enough about how GPUs work just yet to know what I'm doing wrong.

I’m personally a big fan of http://www.acceleratehs.org / https://github.com/AccelerateHS/accelerate-llvm

Something along similar lines but with a much lower barrier to entry that might be worth trying first is doing something similar to ISPC: essentially forcing vectorization of the whole program. This is the exact same thing that running on the GPU does, but on the CPU, so it doesn't require generating a whole new target language and inserting all the Vulcan/CUDA set up code. It's not as fast as the GPU, but it's a lot faster than regular CPU loops: in a benchmark from a couple years ago, I found that single-threaded ISPC beat single-threaded non-ISPC by a factor of about 6.5x, and multithreaded ISPC was only about 3x slower than GPU. For some reason multithreaded ISPC is only slightly more than 2x faster than normal multithreaded, but still a significant improvement.