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adds kernelmeter to the Performance Benchmark section, following the existing entry format with the stars badge. it benchmarks CUDA kernels against the roofline (CUDA-event timing, L2 flush, correctness vs a reference, NVML clock/power telemetry), dumps all cuDeviceGetAttribute values without profiling, and compares GPUs at a given arithmetic intensity from a spec-sheet-tested database. MIT, on PyPI.