QRMumps

Interface to multicore QR factorization qr_mumps

https://github.com/juliasmoothoptimizers/qrmumps.jl

Science Score: 57.0%

This score indicates how likely this project is to be science-related based on various indicators:

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CITATION.cff file
Found CITATION.cff file
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
Found 10 DOI reference(s) in README
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Academic publication links
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Institutional organization owner
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (14.4%) to scientific vocabulary

Keywords from Contributors

ipopt nlpmodels nonlinear-programming performance-profile sparse-matrix sparse-matrices permutation factorization amd linear-systems

Last synced: 6 months ago · JSON representation ·

Repository

Interface to multicore QR factorization qr_mumps

Basic Info

Host: GitHub
Owner: JuliaSmoothOptimizers
License: lgpl-3.0
Language: Julia
Default Branch: main
Size: 1.85 MB

Statistics

Stars: 18
Watchers: 2
Forks: 6
Open Issues: 13
Releases: 10

Created almost 10 years ago · Last pushed 10 months ago

Metadata Files

Readme License Citation

A Julia Interface to qr_mumps

| Documentation | Linux/macOS/Windows/FreeBSD | Coverage | DOI | |:-----------------:|:-------------------------------:|:------------:|:-------:| | | | | |

How to Cite

If you use QRMumps.jl in your work, please cite using the format given in CITATION.bib.

How to install

julia julia> ] pkg> add QRMumps pkg> test QRMumps

Content

qr_mumps is a software package for the solution of sparse, linear systems on multicore computers. It implements a direct solution method based on the QR or Cholesky factorization of the input matrix. Therefore, it is suited to solving sparse least-squares problems, to computing the minimum-norm solution of sparse, underdetermined problems and to solving symmetric, positive-definite sparse linear systems. It can obviously be used for solving square unsymmetric problems in which case the stability provided by the use of orthogonal transformations comes at the cost of a higher operation count with respect to solvers based on, e.g., the LU factorization such as MUMPS. It supports real and complex, single or double precision arithmetic.

Custom Installation

Note: qr_mumps is already precompiled with Yggdrasil for all platforms.

To use your custom qrmumps, set the environment variable `JULIAQRMUMPSLIBRARYPATHto point to the folder holding the qr_mumps shared libraries beforeusing QRMumps. Note that the same version of qr_mumps as used by theqrmumpsjllartifact is needed. To initialize qr_mumps with a custom installation, the function [qrminit`](https://juliasmoothoptimizers.github.io/QRMumps.jl/stable/api/#QRMumps.qrminit) must be called prior to any other functions of QRMumps.jl.

For example: bash brew tap dpo/mumps-jl brew install qr_mumps export JULIA_QRMUMPS_LIBRARY_PATH=$(brew --prefix)/opt/qr_mumps/lib

Apple Silicon users should remember to use arch x86_64 brew to refer to Intel binaries run through Rosetta, as we do not (yet) ship Silicon binaries of qr_mumps via Homebrew.

The JULIA_QRMUMPS_LIBRARY_PATH environment variable may be set permanently in the shell's startup file, or in $HOME/.julia/config/startup.jl.

References

Emmanuel Agullo, Alfredo Buttari, Abdou Guermouche, and Florent Lopez (2016). Implementing multifrontal sparse solvers for multicore architectures with sequential task flow runtime systems. ACM Trans. Math. Softw., 43(2):13:1–13:22. 10.1145/2898348

Emmanuel Agullo, Alfredo Buttari, Abdou Guermouche, and Florent Lopez (2015). Task-based multifrontal QR solver for GPU-accelerated multicore architectures. In HiPC, pages 54–63. IEEE Computer Society. 10.1109/HiPC.2015.27

Bug reports and discussions

If you think you found a bug, feel free to open an issue. Focused suggestions and requests can also be opened as issues. Before opening a pull request, start an issue or a discussion on the topic, please.

If you want to ask a question not suited for a bug report, feel free to start a discussion here. This forum is for general discussion about this repository and the JuliaSmoothOptimizers organization, so questions about any of our packages are welcome.

Owner

Name: JuliaSmoothOptimizers
Login: JuliaSmoothOptimizers
Kind: organization
Location: DOI: 10.5281/zenodo.2655082

Website: https://juliasmoothoptimizers.github.io
Repositories: 63
Profile: https://github.com/JuliaSmoothOptimizers

Infrastructure and Solvers for Continuous Optimization in Julia

Citation (CITATION.bib)

@Misc{buttari-montoison-qrmumps-2021,
  author = {A. Buttari and A. Montoison},
  title = {{QRMumps.jl}: A {J}ulia interface to qr\_mumps},
  month = {April},
  howpublished = {https://github.com/JuliaSmoothOptimizers/QRMumps.jl},
  year = {2021},
  DOI = {10.5281/zenodo.4716114},
}

GitHub Events

Total

Create event: 12
Commit comment event: 8
Release event: 3
Issues event: 12
Watch event: 2
Delete event: 7
Member event: 1
Issue comment event: 55
Push event: 58
Pull request event: 39
Pull request review comment event: 64
Pull request review event: 50

Last Year

Create event: 12
Commit comment event: 8
Release event: 3
Issues event: 12
Watch event: 2
Delete event: 7
Member event: 1
Issue comment event: 55
Push event: 58
Pull request event: 39
Pull request review comment event: 64
Pull request review event: 50

Committers

Last synced: almost 3 years ago

All Time

Total Commits: 107
Total Committers: 8
Avg Commits per committer: 13.375
Development Distribution Score (DDS): 0.308

Top Committers

Name	Email	Commits
Alexis Montoison	a**n@p**a	74
Alfredo Buttari	a**i@g**m	11
Dominique Orban	d**n@g**m	8
Alexis	3**n@u**m	6
tmigot	t**t@g**m	3
Monssaf Toukal	t**f@g**m	2
Abel Soares Siqueira	a**a@g**m	2
github-actions[bot]	4**]@u**m	1

Committer Domains (Top 20 + Academic)

polymtl.ca: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 26
Total pull requests: 124
Average time to close issues: 3 months
Average time to close pull requests: 9 days
Total issue authors: 6
Total pull request authors: 9
Average comments per issue: 3.23
Average comments per pull request: 1.48
Merged pull requests: 108
Bot issues: 0
Bot pull requests: 2

Past Year

Issues: 8
Pull requests: 38
Average time to close issues: about 1 month
Average time to close pull requests: 5 days
Issue authors: 3
Pull request authors: 4
Average comments per issue: 2.0
Average comments per pull request: 1.18
Merged pull requests: 33
Bot issues: 0
Bot pull requests: 0

View more stats

Top Authors

Issue Authors

amontoison (9)
dpo (8)
MaxenceGollier (5)
tmigot (1)
Jcaffin (1)
JuliaTagBot (1)

Pull Request Authors

amontoison (91)
MaxenceGollier (15)
dpo (11)
tmigot (7)
abuttari (3)
github-actions[bot] (2)
abelsiqueira (2)
JSOBot (1)
JuliaTagBot (1)

Top Labels

Issue Labels

enhancement (1) bug (1) documentation (1)

Pull Request Labels

documentation (3) formatting (1) automated pr (1) no changelog (1)

Packages

Total packages: 1
Total downloads: unknown

Total dependent packages: 0
Total dependent repositories: 0
Total versions: 11

juliahub.com: QRMumps

Interface to multicore QR factorization qr_mumps

Documentation: https://docs.juliahub.com/General/QRMumps/stable/
License: LGPL-3.0
Latest release: 0.3.1
published 10 months ago

Versions: 11
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Dependent repos count: 9.9%

Forks count: 21.7%

Average: 25.8%

Stargazers count: 32.6%

Dependent packages count: 38.9%

Last synced: 6 months ago

QRMumps

Science Score: 57.0%

Keywords from Contributors

Repository

Basic Info

Statistics

Metadata Files

README.md

A Julia Interface to qr_mumps

How to Cite

How to install

Content

Custom Installation

References

Bug reports and discussions

Owner

Citation (CITATION.bib)

GitHub Events

Total

Last Year

Committers

All Time

Top Committers

Committer Domains (Top 20 + Academic)

Issues and Pull Requests

All Time

Past Year

Top Authors

Issue Authors

Pull Request Authors

Top Labels

Issue Labels

Pull Request Labels

Packages

juliahub.com: QRMumps

Rankings