This is very cool!

I've been working on something somewhat similar over the last few weeks, but trying to be much more general and arguably over-engineered! I like the scope of this project, keeping it limited to Triton and specific kinds of kernels makes it quite simple and efficient.

I'm confused by the progress graph though; it looks like it's benchmarking a 4096x4096x4096 fp16 matmul rather than a full repo, and it claims a 1.31x improvement vs cuBLAS... while running at 187 TFLOPS which is 18.9% of peak utilization? cuBLAS definitely gets much closer to peak than that - most likely it's limited by CPU overhead or something else? Benchmarking is hard!

Either way I'm excited to see other people working on this, I think it's an extremely promising area over the next 6 months.