https://github.com/partitionedarrays/partitionedarrays.jl
Large-scale, distributed, sparse linear algebra in Julia.
https://github.com/partitionedarrays/partitionedarrays.jl
hpc julia linear-algebra mpi parallel-algorithms parallel-data
Last synced: 20 days ago
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Large-scale, distributed, sparse linear algebra in Julia.
- Host: GitHub
- URL: https://github.com/partitionedarrays/partitionedarrays.jl
- Owner: PartitionedArrays
- License: mit
- Created: 2020-12-08T10:45:12.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2025-04-02T09:25:54.000Z (23 days ago)
- Last Synced: 2025-04-04T23:06:35.902Z (20 days ago)
- Topics: hpc, julia, linear-algebra, mpi, parallel-algorithms, parallel-data
- Language: Julia
- Homepage:
- Size: 5.61 MB
- Stars: 125
- Watchers: 5
- Forks: 16
- Open Issues: 21
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE.md
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README
This package provides distributed (a.k.a. partitioned) vectors and sparse matrices in Julia. See the documentation for further details.
| **Documentation** |
|:------------ |
| [](https://PartitionedArrays.github.io/PartitionedArrays.jl/stable) [](https://PartitionedArrays.github.io/PartitionedArrays.jl/dev) |
|**Build Status** |
| [](https://github.com/PartitionedArrays/PartitionedArrays.jl/actions) |
|**Coverage** |
| [](https://codecov.io/gh/PartitionedArrays/PartitionedArrays.jl)|
|**DOI** |
| [](https://zenodo.org/badge/latestdoi/319607706)|## Documentation
- [**STABLE**](https://PartitionedArrays.github.io/PartitionedArrays.jl/stable) — **Documentation for the most recently tagged version.**
- [**LATEST**](https://PartitionedArrays.github.io/PartitionedArrays.jl/dev) — *Documentation for the in-development version.*## Help and discussion
- You can open a new discussion to ask questions [here](https://github.com/PartitionedArrays/PartitionedArrays.jl/discussions).
- If you have found a bug, open an issue [here](https://github.com/PartitionedArrays/PartitionedArrays.jl/issues). Do not forget to include a (minimal) reproducer.## Contributing
This package is under active development and there are several ways to contribute:
- by enhancing the documentation (e.g., fixing typos, enhancing doc strings, adding examples).
- by addressing one of the [issues waiting for help](https://github.com/PartitionedArrays/PartitionedArrays.jl/labels/help%20wanted).
- by adding more tests to increase the code coverage.
- by extending the current functionality. In this case, open a discussion [here](https://github.com/PartitionedArrays/PartitionedArrays.jl/discussions) to coordinate with the package maintainers before proposing significant changes.