MetaKernelBench: Measuring GPU Kernel Knowledge Transfer Beyond Code
Recent GPU kernel optimization agents retain what they learn in knowledge bases or as distilled skills. Kernel benchmarks score each attempt's implementation for correctness and speed but leave the reuse value of retained experience unmeasured. We introduce MetaKernelBench, which measures whether experience distilled f...
Xueyi Chen, Shi-Yu Liu, Xing-Yu Jin et al.
· 0 citations