LLMs as Selective Surrogates for GPU Kernel Runtime Prediction

Language models are used as surrogate predictors for GPU kernel runtime optimization, selectively replacing traditional performance models. The approach targets the kernel tuning bottleneck where exhaustive profiling is expensive.