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KernelPro is a closed-loop multi-agent system that uses LLMs and micro-profiling tools to automatically optimize GPU kernel code, achieving geomean speedups of 2.42×/4.69×/5.30× on KernelBench and demonstrating a measured 11.6% energy reduction at matched speed.
Recursive releases an automated AI research system that achieves state-of-the-art results on three benchmarks: fixed-budget language model training, small-model training speed, and GPU kernel optimization. The system automates the research loop and open-sources artifacts from its runs.
Recursive releases early results from its automated AI research system, achieving state-of-the-art in fixed-budget language model training, small-model training speed, and GPU kernel optimization, and open-sources artifacts.
AgentKernelArena is an open-source benchmark for evaluating AI coding agents on GPU kernel optimization, assessing full agent workflows and generalization to unseen configurations across 196 tasks.