CUDA-L2
CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeCUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning
CUDA-L2 has 468 stars on GitHub. It has been forked 32 times. CUDA-L2 is written mainly in Cuda. It has been in active development since 2025. CUDA-L2 is available under the MIT license. Its main topics are cublas, cuda-kernels, large-language-models, matrix-multiplication.
What is CUDA-L2?
CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning
Is CUDA-L2 open source?
CUDA-L2 is an open-source project. It is released under the MIT license.
Is CUDA-L2 free?
Yes. CUDA-L2 is free and open source — you can use, modify and self-host it.
What license does CUDA-L2 use?
CUDA-L2 is available under the MIT license.
What language is CUDA-L2 written in?
CUDA-L2 is written mainly in Cuda.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/deepreinforce-ai-cuda-l2.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.