Show HN: Agentic CUDA Kernel Optimizer

(github.com)

25 points | by bertaye 3 hours ago

3 comments

  • generalizations 28 minutes ago
    Very cool. Did you also try using the karpathy autoresearch? How do you think this compares?
  • lohr13 26 minutes ago
    [flagged]
  • asamadx 2 hours ago
    respect for shipping something this technical solo, this is the kind of project that usually needs a team to even validate correctness. how are you handling regression testing across kernel variants, feels like the hardest part of an agentic optimizer isn't finding a faster kernel, it's proving the faster one didn't quietly break something
    • bertaye 0 minutes ago
      That is the funny part actually; we can either provide a reference kernel for correctness check or let AI to create a very basic reference implementation :D for my own experiments I used second one