mpiparticles
A distributed marker (particle) container for MPI codes: per-rank
storage in component-major arrays on NumPy or CuPy (through
cunumpy), globally unique int64
ids, and migrate, which sends the markers that left a rank to the rank
that owns them. Without an MPI launcher it runs on one rank and makes no
MPI call.
import cunumpy as xp
import maybempi
from mpiparticles import (
BoxDecomposition,
IdAllocator,
ParticleStore,
global_count,
migrate,
)
comm = maybempi.get_mpi().COMM_WORLD
decomposition = BoxDecomposition(comm, [0.0, 0.0], [1.0, 1.0], proc_sizes=[1, 1])
store = ParticleStore(ndim=2, nvel=3, id_allocator=IdAllocator.from_comm(comm))
store.add(xp.asarray([[0.2, 0.7], [0.4, 0.9]]), xp.zeros((3, 2)))
store.positions[:, : store.length] += 0.1 # push
sent, received = migrate(store, decomposition) # collective: call it on every rank
store.compact_if_needed()
print(global_count(store, comm))
mpiexec -n 4 python example.py # with proc_sizes=[2, 2]; or just: python example.py
ParticleStoreholds positions(ndim, n), velocities(nvel, n), weights, alive flags and ids, with growth by doubling, dead markers untilcompact,sort_by_key,snapshot/restore, and a transposed non-copy view for plasmacoll’sMarkerSet.IdAllocatorhands out int64 ids with a rank stride, independent of the decomposition.Decompositionis a protocol (comm,rank,size,owners,owned_mask);BoxDecompositionis a small reference implementation.migratesends only the leavers, ids as int64 (exact above 2^53), and appends the arrivals.keep_owned,global_countandgather_columnsare the companions.
Documentation: https://max-models.github.io/mpiparticles/
Install
With uv:
make install # uv sync --extra dev, plus the pre-commit hooks
Or create and activate a Python environment (3.10 or newer) and install with pip:
pip install -e . # serial
pip install -e ".[mpi]" # with mpi4py, for mpiexec runs
The test, docs and dev extras install the test runner, the
documentation tooling and the linters:
pip install -e ".[dev]"
Development
Formatting and linting use ruff, type checking pyright, run by pre-commit and in CI:
make lint # ruff check, ruff format --check, pyright
make test # pytest with coverage; includes mpiexec -n 2 and -n 4 jobs when mpiexec is found
Commit messages follow Conventional Commits; see CONTRIBUTING.md.
Build docs
The documentation in docs/ is an Astro + Starlight site: hand-written
pages, the notebooks in tutorials/ executed and published as pages,
complete Python scripts in examples/ published with their plots, and
the API reference generated from the docstrings with
starlight-pydocs. It needs
Node 22 or newer.
make docs-install # npm packages and the Python docs extra
make docs-notebooks # execute tutorials/*.ipynb and convert them to pages
make docs-examples # run examples/*.py and publish their plots
make docs-dev # live preview at http://localhost:4321/mpiparticles/
make docs-build # the static site in docs/dist
Build the README
README.md is rendered from README.qmd with
Quarto:
make readme
Releases
Before merging a release to main, update the version in
pyproject.toml, src/mpiparticles/__init__.py and CITATION.cff
(including its release date), and add the release notes to
CHANGELOG.md. The push to main creates a GitHub release with a
vX.Y.Z tag and publishes the package to PyPI with trusted publishing
(OIDC). The one-time PyPI and GitHub configuration is described in the
publishing
tutorial.
Metadata
Release files for mpiparticles 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| mpiparticles-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for mpiparticles-0.1.0-py3-none-any.whl |
Total release size: 53.8 kB
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