Derived from arXiv:2607.17979 - Harness Engineering for LLM-Driven GPU Kernel Generation
Scanned 9/11/2026
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# Harness Engineering for LLM-Driven GPU Kernel Generation
Derived from arXiv:2607.17979 - Harness Engineering for LLM-Driven GPU Kernel Generation
## Core Concept
Large language models (LLMs) can assist GPU kernel generation, but their practical effectiveness depends on whether generated code can be reliably constrained, validated, profiled, and selected. This paper presents a harness-centered system for LLM-driven GPU kernel optimization in the MLSys 2026 FlashInfer AI Kernel Generation Contest on NVIDIA Blackwell B200 GPUs. The system separates an evaluation harness from a profile-backed optimization controller: the harness enforces compilation, correct...
## Key Insights
- Derived from arXiv:2607.17979
- Published: 2026-07-20
- Utility Score: 0.97
- Authors: Yue Shui, Chenyu Ma, Hangfei Xu et al.
## Activation
harness-engineering-for-llm-driven-gpu-kernel-gene, 2607.17979
## References
- arXiv: https://arxiv.org/abs/2607.17979
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