Reinforcement Learning Framework Achieves 17.7x Speedup For CUDA Kernel Optimisation
Summary by quantumzeitgeist.com
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1 Articles
Reinforcement Learning Framework Achieves 17.7x Speedup For CUDA Kernel Optimisation
A new reinforcement learning framework, CUDA-L1, automatically optimises code for NVIDIA GPUs, achieving an average speed increase of seventeenfold across a standard benchmark and demonstrating remarkable adaptability to different GPU architectures.
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