MadNLP

A solver for nonlinear programming with GPU support

Science Score: 77.0%

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

✓
CITATION.cff file
Found CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
✓
.zenodo.json file
Found .zenodo.json file
✓
DOI references
Found 3 DOI reference(s) in README
✓
Academic publication links
Links to: zenodo.org
✓
Committers with academic emails
4 of 15 committers (26.7%) from academic institutions
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Institutional organization owner
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (14.1%) to scientific vocabulary

Keywords

julia-language nonlinear-programming optimization

Keywords from Contributors

pde nlpmodels optim optimization-algorithms interior-point-method numerics matrix-exponential robust-optimization flux ode

Last synced: 4 months ago · JSON representation ·

Repository

A solver for nonlinear programming with GPU support

Basic Info

Host: GitHub
Owner: MadNLP
License: mit
Language: Julia
Default Branch: master
Homepage:
Size: 7.37 MB

Statistics

Stars: 213
Watchers: 10
Forks: 19
Open Issues: 36
Releases: 28

Topics

julia-language nonlinear-programming optimization

Created over 5 years ago · Last pushed 4 months ago

Metadata Files

Readme Changelog License Citation

README.md

A nonlinear programming solver based on the filter line-search interior point method (as in Ipopt) that can handle/exploit diverse classes of data structures, either on host or device memories.

| License | Documentation | Build Status | Coverage | DOI | |:-----------------:|:-----------------:|:----------------:|:----------------:|:----------------:| | | | | | |

Installation

julia pkg> add MadNLP

Optionally, various extension packages can be installed together: julia pkg> add MadNLPHSL, MadNLPPardiso, MadNLPMumps, MadNLPGPU

These packages are stored in the lib subdirectory within the main MadNLP repository. Some extension packages may require additional dependencies or specific hardware. For the instructions for the build procedure, see the following links:

Usage

Interfaces

MadNLP is interfaced with modeling packages:

JuMP
NLPModels.

Users can pass various options to MadNLP also through the modeling packages. The interface-specific syntax are shown below. To see the list of MadNLP solver options, check the documentation.

JuMP interface

julia using MadNLP, JuMP model = Model(()->MadNLP.Optimizer(print_level=MadNLP.INFO, max_iter=100)) @variable(model, x, start = 0.0) @variable(model, y, start = 0.0) @NLobjective(model, Min, (1 - x)^2 + 100 * (y - x^2)^2) optimize!(model)

NLPModels interface

julia using MadNLP, CUTEst model = CUTEstModel("PRIMALC1") madnlp(model, print_level=MadNLP.WARN, max_wall_time=3600)

Linear Solvers

MadNLP is interfaced with non-Julia sparse/dense linear solvers: - Umfpack - Lapack - HSL solvers (requires extension) - Pardiso (requires extension) - Pardiso-MKL (requires extension) - Mumps (requires extension) - cuSOLVER (requires extension) - cuDSS (requires extension)

Each linear solver in MadNLP is a Julia type, and the linear_solver option should be specified by the actual type. Note that the linear solvers are always exported to Main.

Built-in Solvers: Umfpack, LapackCPU

```julia using MadNLP, JuMP

...

model = Model(()->MadNLP.Optimizer(linearsolver=UmfpackSolver)) # default model = Model(()->MadNLP.Optimizer(linearsolver=LDLSolver)) # works only for convex problems model = Model(()->MadNLP.Optimizer(linearsolver=CHOLMODSolver)) # works only for convex problems model = Model(()->MadNLP.Optimizer(linearsolver=LapackCPUSolver)) ```

HSL (requires extension `MadNLPHSL`)

```julia using MadNLPHSL, JuMP

...

model = Model(()->MadNLP.Optimizer(linearsolver=Ma27Solver)) model = Model(()->MadNLP.Optimizer(linearsolver=Ma57Solver)) model = Model(()->MadNLP.Optimizer(linearsolver=Ma77Solver)) model = Model(()->MadNLP.Optimizer(linearsolver=Ma86Solver)) model = Model(()->MadNLP.Optimizer(linear_solver=Ma97Solver)) ```

Mumps (requires extension `MadNLPMumps`)

```julia using MadNLPMumps, JuMP

...

model = Model(()->MadNLP.Optimizer(linear_solver=MumpsSolver)) ```

Pardiso (requires extension `MadNLPPardiso`)

```julia using MadNLPPardiso, JuMP

...

model = Model(()->MadNLP.Optimizer(linearsolver=PardisoSolver)) model = Model(()->MadNLP.Optimizer(linearsolver=PardisoMKLSolver)) ```

CUDA (requires extension `MadNLPGPU`)

```julia using MadNLPGPU, JuMP

...

model = Model(()->MadNLP.Optimizer(linearsolver=LapackGPUSolver)) # for dense problems model = Model(()->MadNLP.Optimizer(linearsolver=CUDSSSolver)) # for sparse problems model = Model(()->MadNLP.Optimizer(linearsolver=CuCholeskySolver)) # for sparse problems model = Model(()->MadNLP.Optimizer(linearsolver=GLUSolver)) # for sparse problems model = Model(()->MadNLP.Optimizer(linear_solver=RFSolver)) # for sparse problems ```

Citing MadNLP.jl

If you use MadNLP.jl in your research, we would greatly appreciate your citing it.

bibtex @article{shin2024accelerating, title={Accelerating optimal power flow with {GPU}s: {SIMD} abstraction of nonlinear programs and condensed-space interior-point methods}, author={Shin, Sungho and Anitescu, Mihai and Pacaud, Fran{\c{c}}ois}, journal={Electric Power Systems Research}, volume={236}, pages={110651}, year={2024}, publisher={Elsevier} } @article{shin2021graph, title={Graph-based modeling and decomposition of energy infrastructures}, author={Shin, Sungho and Coffrin, Carleton and Sundar, Kaarthik and Zavala, Victor M}, journal={IFAC-PapersOnLine}, volume={54}, number={3}, pages={693--698}, year={2021}, publisher={Elsevier} }

Supporting MadNLP.jl

Please report issues and feature requests via the GitHub issue tracker.
Questions are welcome at GitHub discussion forum.

Owner

Name: MadNLP
Login: MadNLP
Kind: organization
Email: sshin@anl.gov

Repositories: 2
Profile: https://github.com/MadNLP

Citation (CITATION.bib)

@article{shin2023accelerating,
  title={Accelerating optimal power flow with {GPU}s: {SIMD} abstraction of nonlinear programs and condensed-space interior-point methods},
  author={Shin, Sungho and Pacaud, Fran{\c{c}}ois and Anitescu, Mihai},
  journal={arXiv preprint arXiv:2307.16830},
  year={2023}
}
@article{shin2020graph,
  title={Graph-Based Modeling and Decomposition of Energy Infrastructures},
  author={Shin, Sungho and Coffrin, Carleton and Sundar, Kaarthik and Zavala, Victor M},
  journal={arXiv preprint arXiv:2010.02404},
  year={2020}
}

GitHub Events

Total

Create event: 43
Commit comment event: 43
Release event: 3
Issues event: 46
Watch event: 38
Delete event: 51
Issue comment event: 251
Push event: 320
Pull request review event: 64
Pull request review comment event: 31
Pull request event: 126
Fork event: 3

Last Year

Create event: 43
Commit comment event: 43
Release event: 3
Issues event: 46
Watch event: 38
Delete event: 51
Issue comment event: 251
Push event: 320
Pull request review event: 64
Pull request review comment event: 31
Pull request event: 126
Fork event: 3

Committers

Last synced: 7 months ago

All Time

Total Commits: 458
Total Committers: 15
Avg Commits per committer: 30.533
Development Distribution Score (DDS): 0.694

Past Year

Commits: 56
Committers: 8
Avg Commits per committer: 7.0
Development Distribution Score (DDS): 0.5

Top Committers

Name	Email	Commits
Sungho Shin	s**n@w**u	140
Sungho Shin	s**n@a**v	132
François Pacaud	f****c	103
Alexis Montoison	3****n	30
github-actions[bot]	4****]	18
Carleton Coffrin	c**n@c**m	13
Michel Schanen	m**n@a**v	7
Fredrik Bagge Carlson	b**n@g**m	4
Sungho Shin	s**n@m**v	3
Oscar Dowson	o****w	2
Victor M Zavala	v****a	2
Guillaume Marques	g**s@p**m	1
Jordan Jalving	j**g@g**m	1
Tommaso Sartor	t**r@p**m	1
CompatHelper Julia	c**y@j**g	1

Committer Domains (Top 20 + Academic)

anl.gov: 2 julialang.org: 1 moonshot.cels.anl.gov: 1 coffrin.com: 1 wisc.edu: 1

Issues and Pull Requests

Last synced: 4 months ago

All Time

Total issues: 75
Total pull requests: 275
Average time to close issues: 7 months
Average time to close pull requests: about 1 month
Total issue authors: 28
Total pull request authors: 11
Average comments per issue: 5.6
Average comments per pull request: 1.05
Merged pull requests: 200
Bot issues: 0
Bot pull requests: 48

Past Year

Issues: 26
Pull requests: 111
Average time to close issues: 11 days
Average time to close pull requests: 6 days
Issue authors: 11
Pull request authors: 7
Average comments per issue: 1.77
Average comments per pull request: 0.89
Merged pull requests: 84
Bot issues: 0
Bot pull requests: 8

View more stats

Top Authors

Issue Authors

amontoison (14)
sshin23 (11)
frapac (10)
baggepinnen (6)
Franc-Z (3)
dlcole3 (3)
KSepetanc (3)
jbcaillau (2)
franckgaga (2)
apozharski (2)
sharabhshukla (1)
sathvikbhagavan (1)
bzhangcw (1)
mohamed82008 (1)
pjavanrood (1)

Pull Request Authors

frapac (120)
sshin23 (78)
github-actions[bot] (67)
amontoison (62)
michel2323 (6)
apozharski (4)
baggepinnen (4)
guimarqu (2)
jalving (2)
tmmsartor (2)
odow (1)

Top Labels

Issue Labels

enhancement (5) breaking (2) bug (1)

Pull Request Labels

type inference (2) bug (2) MadMPEC (2) enhancement (1)

Packages

Total packages: 8
Total downloads:
- julia 299 total

Total dependent packages: 10
(may contain duplicates)
Total dependent repositories: 0
(may contain duplicates)
Total versions: 89

juliahub.com: MadNLP

A solver for nonlinear programming with GPU support

Documentation: https://docs.juliahub.com/General/MadNLP/stable/
License: MIT
Latest release: 0.8.10
published 5 months ago

Versions: 28
Dependent Packages: 9
Dependent Repositories: 0
Downloads: 204 Total

Rankings

Dependent packages count: 7.0%

Stargazers count: 8.2%

Dependent repos count: 9.9%

Average: 10.0%

Forks count: 14.9%

Last synced: 4 months ago

juliahub.com: MadNLPKrylov

A solver for nonlinear programming with GPU support

Documentation: https://docs.juliahub.com/General/MadNLPKrylov/stable/
License: MPL-2.0
Latest release: 0.3.3
published almost 2 years ago

Versions: 6
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 1 Total

Rankings

Stargazers count: 8.2%

Dependent repos count: 9.9%

Forks count: 14.9%

Average: 18.0%

Dependent packages count: 38.9%

Last synced: 4 months ago

juliahub.com: MadNLPHSL

A solver for nonlinear programming with GPU support

Documentation: https://docs.juliahub.com/General/MadNLPHSL/stable/
License: MPL-2.0
Latest release: 0.6.0
published 11 months ago

Versions: 9
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 14 Total

Rankings

Stargazers count: 8.2%

Dependent repos count: 9.9%

Forks count: 14.9%

Average: 18.0%

Dependent packages count: 38.9%

Last synced: 4 months ago

juliahub.com: MadNLPPardiso

A solver for nonlinear programming with GPU support

Documentation: https://docs.juliahub.com/General/MadNLPPardiso/stable/
License: MPL-2.0
Latest release: 0.3.4
published over 1 year ago

Versions: 7
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Stargazers count: 8.2%

Dependent repos count: 9.9%

Forks count: 14.9%

Average: 18.0%

Dependent packages count: 38.9%

Last synced: 4 months ago

juliahub.com: MadNLPMumps

A solver for nonlinear programming with GPU support

Documentation: https://docs.juliahub.com/General/MadNLPMumps/stable/
License: MPL-2.0
Latest release: 0.5.1
published 8 months ago

Versions: 9
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 9 Total

Rankings

Stargazers count: 8.2%

Dependent repos count: 9.9%

Forks count: 14.9%

Average: 18.0%

Dependent packages count: 38.9%

Last synced: 4 months ago

juliahub.com: MadNLPTests

A solver for nonlinear programming with GPU support

Documentation: https://docs.juliahub.com/General/MadNLPTests/stable/
License: MPL-2.0
Latest release: 0.5.2
published 12 months ago

Versions: 8
Dependent Packages: 1
Dependent Repositories: 0
Downloads: 8 Total

Rankings

Stargazers count: 8.2%

Dependent repos count: 9.9%

Forks count: 14.9%

Average: 18.0%

Dependent packages count: 38.9%

Last synced: 4 months ago

juliahub.com: MadNLPGPU

Documentation: https://docs.juliahub.com/General/MadNLPGPU/stable/
License: MPL-2.0
Latest release: 0.7.14
published 4 months ago

Versions: 21
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 62 Total

Rankings

Stargazers count: 8.2%

Dependent repos count: 9.9%

Forks count: 14.9%

Average: 18.0%

Dependent packages count: 38.9%

Last synced: 4 months ago

juliahub.com: MadNLPGraph

A solver for nonlinear programming with GPU support

Documentation: https://docs.juliahub.com/General/MadNLPGraph/stable/
License: MPL-2.0
Latest release: 0.1.0
published about 5 years ago

Versions: 1
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 1 Total

Rankings

Stargazers count: 8.2%

Dependent repos count: 9.9%

Forks count: 14.9%

Average: 18.0%

Dependent packages count: 38.9%

Last synced: 4 months ago

Dependencies

.github/workflows/TagBot.yml actions

JuliaRegistries/TagBot v1 composite

.github/workflows/docs.yml actions

actions/checkout v2 composite
julia-actions/setup-julia latest composite

.github/workflows/test.yml actions

actions/checkout v2 composite
codecov/codecov-action v1 composite
julia-actions/julia-processcoverage v1 composite
julia-actions/setup-julia latest composite

.github/workflows/CompatHelper.yml actions

MadNLP

Science Score: 77.0%

Keywords

Keywords from Contributors

Repository

Basic Info

Statistics

Topics

Metadata Files

README.md

Installation

Usage

Interfaces

JuMP interface

NLPModels interface

Linear Solvers

Built-in Solvers: Umfpack, LapackCPU

...

HSL (requires extension MadNLPHSL)

...

Mumps (requires extension MadNLPMumps)

...

Pardiso (requires extension MadNLPPardiso)

...

CUDA (requires extension MadNLPGPU)

...

Citing MadNLP.jl

Supporting MadNLP.jl

Owner

Citation (CITATION.bib)

GitHub Events

Total

Last Year

Committers

All Time

Past Year

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: MadNLP

Rankings

juliahub.com: MadNLPKrylov

Rankings

juliahub.com: MadNLPHSL

Rankings

juliahub.com: MadNLPPardiso

Rankings

juliahub.com: MadNLPMumps

Rankings

juliahub.com: MadNLPTests

Rankings

juliahub.com: MadNLPGPU

Rankings

juliahub.com: MadNLPGraph

Rankings

Dependencies

HSL (requires extension `MadNLPHSL`)

Mumps (requires extension `MadNLPMumps`)

Pardiso (requires extension `MadNLPPardiso`)

CUDA (requires extension `MadNLPGPU`)