Question 1

How do I benchmark multi-threaded code with Celero?

Accepted Answer

Celero provides macros like BASELINE_T and BENCHMARK_T for threaded benchmarks, allowing you to specify the number of concurrent threads. You need to define test fixtures and use these macros, similar to single-threaded benchmarks, as demonstrated in the celeroDemoMultithread example.

Question 2

Can Celero compare performance across different compilers?

Accepted Answer

Yes, Celero's cross-platform support and consistent measurement framework make it suitable for compiler comparisons. However, you must control environmental factors like CPU frequency scaling and ensure statistical significance for accurate results.

Question 3

What's the difference between Celero and Google Benchmark?

Accepted Answer

Celero offers integrated memory tracking and user-defined measurements out of the box, which Google Benchmark lacks. However, Google Benchmark has a larger community and may be simpler for basic timing, while Celero excels in detailed, statistical analysis.

Question 4

How to integrate Celero with my CI/CD pipeline?

Accepted Answer

Use the -j command-line option to output JUnit XML results, which can be parsed by CI systems like Jenkins or GitLab CI. This allows automated failure detection on performance regressions, as noted in the README's CI/CD integration feature.

Question 5

How do I measure custom metrics like page faults with Celero?

Accepted Answer

Implement user-defined measurements by deriving from celero::UserDefinedMeasurement, adding instances to your test fixture, and recording values in methods like tearDown(). The README provides a complete example using page fault tracking.

Question 6

Is Celero good for microbenchmarks?

Accepted Answer

Celero can handle microbenchmarks, but its framework overhead and focus on statistical sampling might introduce noise for extremely fine-grained measurements. It's better suited for benchmarks where multiple samples and accuracy are priorities.

Celero

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