Gridap

Gridap: An extensible Finite Element toolbox in Julia - Published in JOSS (2020)

https://github.com/gridap/gridap.jl

Science Score: 95.0%

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

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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 and JOSS metadata
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Academic publication links
Links to: joss.theoj.org
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Committers with academic emails
18 of 51 committers (35.3%) from academic institutions
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Institutional organization owner
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JOSS paper metadata
Published in Journal of Open Source Software

Keywords

finite-elements gridap julia numerical-methods partial-differential-equations pdes

Keywords from Contributors

mpi parallel distributed parallel-computing fluxes meshing surrogate graphics simulations the-human-brain

Scientific Fields

Economics Social Sciences - 40% confidence

Last synced: 4 months ago · JSON representation

Repository

Grid-based approximation of partial differential equations in Julia

Basic Info

Host: GitHub
Owner: gridap
License: mit
Language: Julia
Default Branch: master
Homepage:
Size: 25.7 MB

Statistics

Stars: 802
Watchers: 20
Forks: 102
Open Issues: 98
Releases: 83

Topics

finite-elements gridap julia numerical-methods partial-differential-equations pdes

Created almost 7 years ago · Last pushed 4 months ago

Metadata Files

Readme Changelog Contributing License Code of conduct

README.md

What

Gridap provides a set of tools for the grid-based approximation of partial differential equations (PDEs) written in the Julia programming language. The library currently supports linear and nonlinear PDE systems for scalar and vector fields, single and multi-field problems, conforming and nonconforming finite element (FE) discretizations, on structured and unstructured meshes of simplices and n-cubes. It also provides methods for time integration. Gridap is extensible and modular. One can implement new FE spaces, new reference elements, use external mesh generators, linear solvers, post-processing tools, etc. See, e.g., the list of available Gridap plugins.

Gridap has a very expressive API allowing one to solve complex PDEs with very few lines of code. The user can write the underlying weak form with a syntax almost 1:1 to the mathematical notation, and Gridap generates an efficient FE assembly loop automatically by leveraging the Julia JIT compiler. For instance, the weak form for an interior penalty DG method for the Poisson equation can be simply specified as: ```julia a(u,v) = ∫( ∇(v)⋅∇(u) )dΩ + ∫( (γ/h)vu - v(nΓ⋅∇(u)) - (nΓ⋅∇(v))u )dΓ + ∫( (γ/h)jump(vnΛ)⋅jump(u*nΛ) - jump(vn_Λ)⋅mean(∇(u)) - mean(∇(v))⋅jump(un_Λ) )*dΛ

l(v) = ∫( vf )dΩ + ∫( (γ/h)vu - (n_Γ⋅∇(v))u )dΓ See the complete code [here](https://github.com/gridap/Gridap.jl/blob/master/test/GridapTests/PoissonDGTests.jl). As an example for multi-field PDEs, this is how the weak form for the Stokes equation with Neumann boundary conditions can be specified:julia a((u,p),(v,q)) = ∫( ∇(v)⊙∇(u) - (∇⋅v)p + q(∇⋅u) )*dΩ

l((v,q)) = ∫( v⋅f + qg )dΩ + ∫( v⋅(nΓ⋅∇u) - (nΓ⋅v)p )dΓ ``` See the complete code here.

Documentation

STABLE — Documentation for the most recently tagged version of Gridap.jl.
DEVEL — Documentation for the in-development version of Gridap.

Tutorials

A hands-on user-guide to the library is available as a set of tutorials. They are available as Jupyter notebooks and html pages.

Installation

Gridap is a registered package in the official Julia package registry. Thus, the installation of Gridap is straight forward using the Julia's package manager. Open the Julia REPL, type ] to enter package mode, and install as follows julia pkg> add Gridap

Plugins

GridapDistributed Distributed-memory extension of Gridap.
GridapSolvers Scalable multiphysics finite element solvers.
GridapEmbedded Embedded finite elements in Julia.
GridapGmsh Generate a FE mesh with GMSH and use it in Gridap.
GridapMakie Makie plotting recipes for Gridap.
GridapPardiso Use the Intel Pardiso MKL direct sparse solver in Gridap.
GridapPETSc Use PETSc linear and nonlinear solvers in Gridap.

Examples

These are some popular PDEs solved with the Gridap library. Examples taken from the Gridap Tutorials.

Known issues

Since Julia 1.6 onwards we have noticed large first call latencies of Gridap.jl codes with the default compiler optimization level (i.e., -O2). In general, while developing code, but specially if you are noting high first call latencies, we recommend to run julia with the -O1 flag. For production runs use -O2 or -O3.

## Gridap community

You can ask questions and interact with the Gridap community on the Julia Slack channel #gridap (see here how to join). or our gitter.

Contributing to Gridap

Gridap is a collaborative project open to contributions. If you want to contribute, please take into account:

Before opening a PR with a significant contribution, contact the project administrators, e.g., by writing a message in our gitter chat or by opening an issue describing what you are willing to implement. Wait for feed-back.
Carefully read and follow the instructions in the CONTRIBUTING.md file.
Carefully read and follow the instructions in the CODEOFCONDUCT.md file.
Open a PR with your contribution.

Want to help? We have a number of issues waiting for help. You can start contributing to the Gridap project by solving some of those issues.

How to cite Gridap

In order to give credit to the Gridap contributors, we simply ask you to cite the references below in any publication in which you have made use of the Gridap project. If you are using other Gridap sub-packages, please cite them as indicated in their repositories.

``` @article{Badia2020, doi = {10.21105/joss.02520}, url = {https://doi.org/10.21105/joss.02520}, year = {2020}, publisher = {The Open Journal}, volume = {5}, number = {52}, pages = {2520}, author = {Santiago Badia and Francesc Verdugo}, title = {Gridap: An extensible Finite Element toolbox in Julia}, journal = {Journal of Open Source Software} }

@article{Verdugo2022, doi = {10.1016/j.cpc.2022.108341}, url = {https://doi.org/10.1016/j.cpc.2022.108341}, year = {2022}, month = jul, publisher = {Elsevier {BV}}, volume = {276}, pages = {108341}, author = {Francesc Verdugo and Santiago Badia}, title = {The software design of Gridap: A Finite Element package based on the Julia {JIT} compiler}, journal = {Computer Physics Communications} } ```

Contact

Please, contact the project administrators, Santiago Badia, Francesc Verdugo, and Alberto F. Martin for further questions about licenses and terms of use.

Owner

Name: Gridap
Login: gridap
Kind: organization

Repositories: 21
Profile: https://github.com/gridap

Software ecosystem to solve PDEs in Julia

JOSS Publication

Gridap: An extensible Finite Element toolbox in Julia

Published

August 26, 2020

DOI

10.21105/joss.02520

Volume 5, Issue 52, Page 2520

Authors

Santiago Badia

School of Mathematics, Monash University, Clayton, Victoria, 3800, Australia.

Francesc Verdugo

Centre Internacional de Mètodes Numèrics en Enginyeria, Esteve Terrades 5, E-08860 Castelldefels, Spain.

Editor

Kevin M. Moerman

GitHub Events

Total

Create event: 39
Commit comment event: 19
Release event: 10
Issues event: 45
Watch event: 106
Delete event: 19
Issue comment event: 196
Push event: 443
Pull request review event: 36
Pull request review comment event: 25
Pull request event: 108
Fork event: 10

Last Year

Create event: 40
Commit comment event: 19
Release event: 10
Issues event: 46
Watch event: 106
Delete event: 20
Issue comment event: 199
Push event: 447
Pull request review event: 36
Pull request review comment event: 25
Pull request event: 112
Fork event: 10

Committers

Last synced: 5 months ago

All Time

Total Commits: 4,579
Total Committers: 51
Avg Commits per committer: 89.784
Development Distribution Score (DDS): 0.566

Past Year

Commits: 500
Committers: 19
Avg Commits per committer: 26.316
Development Distribution Score (DDS): 0.316

Top Committers

Name	Email	Commits
Francesc Verdugo	f**o@c**u	1,987
Santiago Badia	s**a@m**u	756
JordiManyer	j**r@m**u	656
amartin	a**n@m**u	260
Oriol Colomes	o**s@g**m	162
RAPPAPORT Ari	a**t@i**r	113
victorsndvg	v**v@g**m	78
Kishore Nori	s**i@m**u	74
Antoine Marteau	a**u@p**m	68
Erik Schnetter	s**r@g**m	50
Alexandre Magueresse	a**e@m**u	47
Pere Antoni Martorell	p**l@c**u	40
Eric Neiva	e**a@c**r	37
Connor	c**n@m**u	34
Jesus Bonilla	j**a@c**u	27
Balaje K	b**6@g**m	21
Omega-xyZac	O****c	16
Jan Weidner	j**6@g**m	14
dhtan	d**n@g**m	13
Tamara Tambyah	t**h@m**u	11
github-actions[bot]	4****]	10
Shreyas	s**2@g**m	10
MU00232207	j**3@g**m	10
janmodderman	j**n@g**m	8
Olivier Vanvincq	o**q@u**r	8
Shagun@Watson	s**4@g**m	7
mochen4	m**n@m**u	7
CompatHelper Julia	c**y@j**g	7
Jai Tushar	jt@d****u	7
ConnorMallon	c**2@s**u	4
and 21 more...

Committer Domains (Top 20 + Academic)

monash.edu: 7 cimne.upc.edu: 4 ranocha.de: 1 gitter.im: 1 dyn-49-127-85-81.its.monash.edu.au: 1 g2elab.grenoble-inp.org: 1 qq.com: 1 tudelft.net: 1 student.monash.edu: 1 dyn-130-194-162-66.its.monash.edu.au: 1 julialang.org: 1 mit.edu: 1 univ-lille.fr: 1 college-de-france.fr: 1 inria.fr: 1

Issues and Pull Requests

Last synced: 4 months ago

All Time

Total issues: 128
Total pull requests: 292
Average time to close issues: 7 months
Average time to close pull requests: about 2 months
Total issue authors: 67
Total pull request authors: 38
Average comments per issue: 2.99
Average comments per pull request: 1.77
Merged pull requests: 212
Bot issues: 0
Bot pull requests: 25

Past Year

Issues: 28
Pull requests: 117
Average time to close issues: 13 days
Average time to close pull requests: 8 days
Issue authors: 21
Pull request authors: 19
Average comments per issue: 1.57
Average comments per pull request: 1.74
Merged pull requests: 87
Bot issues: 0
Bot pull requests: 9

View more stats

Top Authors

Issue Authors

amartinhuertas (13)
JordiManyer (8)
oriolcg (7)
Antoinemarteau (4)
zjwegert (4)
wei3li (3)
JanSuntajs (3)
hgpeterson (3)
stevengj (3)
kishore-nori (3)
ericneiva (3)
fverdugo (3)
larsudb (2)
iajzenszmi (2)
DimhamT (2)

Pull Request Authors

JordiManyer (80)
Antoinemarteau (36)
amartinhuertas (36)
github-actions[bot] (21)
kishore-nori (11)
oriolcg (10)
pmartorell (8)
ericneiva (8)
santiagobadia (8)
fverdugo (6)
AlexandreMagueresse (6)
aerappa (5)
shagun751 (5)
janmodderman (5)
Jai-Tushar (5)

Top Labels

Issue Labels

bug (11) help wanted (9) enhancement (8) new functionality (2) good first issue (1)

Pull Request Labels

enhancement (12) bug (11) breaking (4) dependencies (4) github_actions (2) new functionality (1)

Packages

Total packages: 1
Total downloads:
- julia 310 total

Total dependent packages: 18
Total dependent repositories: 0
Total versions: 85

juliahub.com: Gridap

Grid-based approximation of partial differential equations in Julia

Documentation: https://docs.juliahub.com/General/Gridap/stable/
License: MIT
Latest release: 0.19.4
published 5 months ago

Versions: 85
Dependent Packages: 18
Dependent Repositories: 0
Downloads: 310 Total

Rankings

Stargazers count: 0.9%

Forks count: 1.8%

Average: 4.4%

Dependent packages count: 4.8%

Dependent repos count: 9.9%

Last synced: 4 months ago

Dependencies

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JuliaRegistries/TagBot v1 composite

.github/workflows/ci.yml actions

actions/cache v1 composite
actions/checkout v2 composite
codecov/codecov-action v1 composite
julia-actions/julia-buildpkg v1 composite
julia-actions/julia-processcoverage v1 composite
julia-actions/julia-runtest v1 composite
julia-actions/setup-julia v1 composite

.github/workflows/ci_x86.yml actions

actions/cache v1 composite
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julia-actions/julia-buildpkg v1 composite
julia-actions/julia-runtest v1 composite
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.github/workflows/CompatHelper.yml actions

Gridap

Science Score: 95.0%

Keywords

Keywords from Contributors

Scientific Fields

Repository

Basic Info

Statistics

Topics

Metadata Files

README.md

What

Documentation

Tutorials

Installation

Plugins

Examples

Known issues

Contributing to Gridap

How to cite Gridap

Contact

Owner

JOSS Publication

Gridap: An extensible Finite Element toolbox in Julia

Authors

Editor

Tags

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: Gridap

Rankings

Dependencies