cuda-l2-kernel-optimization

Uses LLMs with RL to automatically optimize HGEMM CUDA kernels across 1,000 configurations, systematically outperforming NVIDIA's cuBLAS and cuBLASLt through continued pretraining, general RL, and specialized HGEMM RL stages.

Independent GitHub snapshot · Automated classification · Original documentation governs