GPU Forecasters: Language Models as Selective Surrogates for Kernel Runtime Optimization

GPU Forecasters: Language Models as Selective Surrogates for Kernel Runtime Optimization | Signal Canvas | ScienceToStartup

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Canonical route: /signal-canvas/gpu-forecasters-language-models-as-selective-surrogates-for-kernel-runtime-optimization

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Proof freshness: stale
Proof status: unverified
Display score: 7/10
Last proof check: 2026-06-01
Score updated: 2026-06-01
Score fresh until: 2026-07-01
References: 0
Source count: 4
Coverage: 67%

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Evidence Receipt

Route status: building

Claims: 1

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: GPU Forecasters: Language Models as Selective Surrogates for Kernel Runtime Optimization

PDF: https://arxiv.org/pdf/2605.31464v1

Repository: https://github.com/codezakh/gpu-forecasters

Source count: 4

Coverage: 67%

Last proof check: 2026-06-01T20:21:31.289Z

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GPU Forecasters: Language Models as Selective Surrogates for Kernel Runtime Optimization

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