Question 1

How do I set up Criterion.rs for my Rust project?

Accepted Answer

Add Criterion.rs as a dev dependency in your Cargo.toml, create benchmark files in the benches directory, and run cargo bench. It automatically handles statistical analysis and generates reports, making integration straightforward for microbenchmarks.

Question 2

Is Criterion.rs better than cargo bench for benchmarking?

Accepted Answer

Criterion.rs provides more rigorous statistical analysis and detailed reports, while cargo bench offers simpler, integrated timing. Choose Criterion.rs for reliable performance measurements, but use cargo bench for quick checks without statistical overhead.

Question 3

Can Criterion.rs benchmark asynchronous code?

Accepted Answer

Yes, Criterion.rs supports benchmarking async code through its customizable measurement features, but it may require additional setup like using async runtimes. Refer to the documentation for examples on integrating with async functions.

Question 4

How to interpret the statistical output from Criterion.rs reports?

Accepted Answer

Focus on confidence intervals and p-values in the HTML reports to determine if performance differences are statistically significant. Lower p-values and non-overlapping intervals indicate meaningful changes, helping avoid false positives from noise.

Question 5

What are the main alternatives to Criterion.rs for Rust benchmarking?

Accepted Answer

Alternatives include cargo bench for basic timing, criterion-rs for statistical rigor, and libraries like bencher for lightweight benchmarks. Criterion.rs stands out for its detailed statistical analysis, but simpler tools may suffice for less critical performance testing.

Question 6

Does Criterion.rs work with no_std environments?

Accepted Answer

Criterion.rs primarily targets standard Rust environments and may have limited support for no_std due to dependencies on std features. Check the documentation or community forums for workarounds if benchmarking in embedded contexts.

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