matlab-write-performance-tests

To write MATLAB performance tests, use matlab.perftest.TestCase with runperf to benchmark code accurately. Apply keepMeasuring for fast code or startMeasuring and stopMeasuring to isolate timed regions, ensuring statistical rigor through warmup and multiple samples.

MATLAB performance tests produce noisy timing results when setup code runs inside the measured region or RNG seeding is non-deterministic. Enforce setup and verification separation, use local variables to reduce overhead, and apply deterministic RNG seeding to achieve reproducible benchmarking.

The best way to benchmark fast MATLAB functions is using the keepMeasuring loop within matlab.perftest.TestCase. This approach minimizes measurement overhead by repeatedly executing the target code until sufficient samples are collected for statistically rigorous timing.

Yes, you can use MethodSetupParameter to parameterize MATLAB performance tests. It supplies distinct values consumed during the setup phase, allowing you to benchmark code across multiple input sizes cleanly while maintaining proper setup and verification separation.

Use startMeasuring and stopMeasuring instead of keepMeasuring when you need to isolate exactly what you want timed in slow MATLAB functions. This approach ensures precise measurement boundaries by excluding setup and verification phases from the benchmark results.