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toolchain_bench

Benchmark and compare rustup toolchain executable performance using The Computer Language Benchmarks Game benchmarks and hyperfine.

Prerequisites

Python3 and the following packages:

$ pip3 install mergedeep pathvalidate scipy toml pyyaml

Hyperfine:

$ sudo apt install hyperfine

rustup configured with the correct tool chains. E.g.

$ rustup install 1.58.1
$ rustup toolchain link {my-toolchain} {path/to/my/toolchain/sysroot}

Quick start

Compare 1.58.0 and 1.58.1:

$ python3 bench.py 1.58.0 1.58.1

This will build, benchmark and output results:

                                1.58.1               1.58.1.revert    
executable                      relative   median    relative   median    significant
-------------------------------------------------------------------------------------
empty.rs                        1.042      0.001s    1.000      0.001s    T    0.000p
binarytrees.rust                1.005      2.268s    1.000      2.257s    F    0.315p
binarytrees.rust-2.rust         1.014      1.221s    1.000      1.204s    F    0.351p
.
.
.
spectralnorm.rust-7.rust        1.000      1.025s    1.000      1.025s    F    0.498p

Summary:
  test count: 63
  discarded (insignificant) tests: 43
  1.58.1 fastest: 12 times
  1.58.1.revert fastest: 8 times

To output the results without running the benchmarks again:

python3 welch.py 1.58.0 1.58.1

Alternatively, assuming rustup has been configured with 1.58.1 and a modified variant 1.58.1.revert:

$ python3 bench.py 1.58.1 1.58.1.revert

Important! To cut down on rebuild times, bench.py, or more specifically build.py, will not rebuild binaries that already exist in the corresponding my_bin/{toolchain} folder. To force a rebuild simply remove the relevant my_bin/{toolchain} folder.

Breakdown

Four commands are invoked by bench.py in order:

  • Data (data.py), generate input data for benchmarks. This data is cached.
  • Build (build.py), build rust executables into my_bin. These binaries are cached. To force a rebuild simply remove the relevant my_bin/{toolchain} folder.
  • Benchmark (hyper.py), benchmark using hyperfine and output to my_results/outputs.json
  • Analysis (welch.py), Welch's t-test based on this hyperfine script.

These can also be called individually.

Analysis

This implementation currently only provides a simple Welch's t-test.

The benchmark output data is saved in my_results/outputs.json. The data is organised as group.source.toolchain.results.

Example:

{
  "binarytrees": {
    "binarytrees.rust": {
      "1.58.1": {
        "results": [
          {
            "command": "my_bin/1.58.1/binarytrees.rust/binarytrees 21",
            "mean": 2.25133281418,
            "stddev": 0.02438307964580027,
            "median": 2.25123771508,
            "user": 7.6929631999999994,
            "system": 0.08517338,
            "min": 2.2172595720799997,
            "max": 2.28075038708,
            "times": [
              2.28075038708,
              2.27312458908,
              2.23069984308,
              2.25781735108,
              2.24171778808,
              2.2446580790799997,
              2.21759370008,
              2.2172595720799997,
              2.27494145808,
              2.27476537408
            ],
            "exit_codes": [
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0
            ]
          }
        ]
      }
    }
  } 
}

Configuration

Configuration is via 'config.yaml'.

The Computer Language Benchmarks Game

'The Computer Language Benchmarks Game' homepage is here with the project repo here.

I am in no way affiliated with the 'The Computer Language Benchmarks Game'. All trademarks belong to their respective owners.

License

Licensed under either of

at your option.

Any Benchmarks Game source code, located in 'benchmarks' folder, is covered by the enclosed Revised BSD license.