MKEvolve: A Modular Multi-Agent Framework for Kernel Code Generation
3.40T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2607.20501.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryMKEvolve is a multi-agent framework that iteratively co-evolves a modular decomposition of PyTorch modules with LLM-generated Triton kernels, refining both the structure and each subkernel via beam search. On KernelBench L2/L3 it improves correctness and speedup over end-to-end synthesis while cutting LLM token usage by up to 35%.
Why it mattersReports concrete benchmark deltas (35% token reduction, correctness and speedup gains) on KernelBench L2/L3, useful as a data point on multi-agent code generation tradeoffs.
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