AI Research
Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels
Machine learning models are increasingly embedded in everyday software, and most of their runtime is spent in a small set of compute kernels such as matrix multiplication, convolution, and normalization. Optimizing these kernels is one of the most direct ways to reduce latency an...
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ArXiv CS.AI
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ArXiv CS.AI
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Kernel Forge demonstrates how LLM-powered agents can automate the complex optimization of GPU kernels, significantly reducing latency and cost for machine learning workloads. This end-to-end harness, with its MCTS-driven optimization and GUI, lowers the barrier for developers to achieve substantial performance gains without requiring deep GPU programming expertise.
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