gwmock-benchmark 0.2.0

Shared benchmarking harness, results, and reports for the gwmock packages

gwmock-benchmark

Shared benchmarking for the gwmock packages: one harness, the committed results, and the rendered report site — in one place.

📊 Results: https://leuven-gravity-institute.github.io/gwmock-benchmark/

It exists so that every gwmock package is benchmarked the same way, so anyone can contribute results from their own hardware with a single pull request, and so the package repositories stay free of benchmark tooling, data, and figures.

How it works

1. You run a benchmark with the CLI; it writes one metrics-only JSON record.
2. You open a pull request adding that file under data/<package>/<suite>/.
3. CI validates it; on merge, the docs pipeline regenerates the figures and tables from the data — contributors never commit images or edit the docs.

Records are tiny (~1–2 KB), carry full provenance (CPU/GPU model, library versions — no hostnames), and are capped at 16 KB so the dataset stays light in the repository.

Benchmarked packages

Package	Suites	Extra
gwmock-signal	performance, consistency	gwmock-benchmark[signal]

More packages (gwmock-pop, gwmock-noise, gwmock) plug in as suites under src/gwmock_benchmark/suites/.

Install

uv pip install "gwmock-benchmark[signal]"   # extra per package you want to benchmark

Linux and macOS (the harness uses Unix facilities and the suites pull HPC packages such as lalsuite); Python 3.12–3.14.

CLI

# Run a benchmark (writes a record)
gwmock-benchmark signal performance --backend ripple --method batched --n-events 5000 -o out.json
gwmock-benchmark signal consistency -o data/signal/consistency

# Generate a cluster submission script for any command
gwmock-benchmark submit slurm --command "gwmock-benchmark signal performance ..." \
    --cpus 8 --gpus 1 --time 04:00:00 -o run.slurm

# Render the committed dataset into the docs (run by the docs pipeline)
gwmock-benchmark aggregate --data-dir data --docs-dir docs

Contributing results

Benchmarks from more hardware make the reports better. See the Contribute a benchmark guide for the full workflow (run locally or on a cluster → add a data file → open a PR).

Development

git clone [e-mail]:Leuven-Gravity-Institute/gwmock-benchmark.git
cd gwmock-benchmark
uv venv --python 3.12 && source .venv/bin/activate
uv sync --group dev --group docs
uv run prek install
uv run pytest

Build the site locally (renders figures from data/ first):

uv run --group docs gwmock-benchmark aggregate
uv run --group docs zensical serve

License

GPL-3.0-or-later — see LICENSE.