CUDA-Harness: Harnessing Agentic CUDA Kernel Generation and Optimization from Natural Language
3.40T1 sourcearXiv cs.MA
arXiv cs.MAoriginal source ↗
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2609.00058.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryProposes CUDA-Harness, an agentic framework that generates and optimizes CUDA kernels from natural language. Key components include Intermediate-Structured Generation, Synthesis-Based Verification to mitigate reward hacking, and Feedback-Adaptive Evolution balancing correctness and performance.
Why it mattersDocuments a concrete multi-agent pipeline for a specialized code-generation task, with explicit mechanisms against reward hacking and details on kernel evolution strategy.
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