ParMETIS | Parallel Graph Partitioning and Fill-reducing Matrix

by KarypisLab C Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | ParMETIS Summary

ParMETIS is a C library typically used in User Interface applications. ParMETIS has no bugs, it has no vulnerabilities and it has low support. However ParMETIS has a Non-SPDX License. You can download it from GitHub.

ParMETIS is an MPI-based library for partitioning graphs, partitioning finite element meshes, and producing fill reducing orderings for sparse matrices. The algorithms implemented in ParMETIS are based on the multilevel recursive-bisection, multilevel k-way, and multi-constraint partitioning schemes developed in our lab.

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Support

ParMETIS has a low active ecosystem.

It has 75 star(s) with 32 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 9 open issues and 6 have been closed. On average issues are closed in 112 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ParMETIS is current.

Quality

ParMETIS has no bugs reported.

Security

ParMETIS has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

ParMETIS has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

ParMETIS releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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ParMETIS Key Features

No Key Features are available at this moment for ParMETIS.

ParMETIS Examples and Code Snippets

No Code Snippets are available at this moment for ParMETIS.

Community Discussions

Trending Discussions on ParMETIS

Issue installing petsc4py with Anaconda using pip, to indicate external PETSc directory

Undefined reference to `ParMETIS_V3_PartMeshKway'

pyinstaller executable doesn't run in Ubuntu 18.04.1

Is the ParMetis generating any information about neighbors of a processor?

QUESTION

Issue installing petsc4py with Anaconda using pip, to indicate external PETSc directory

Asked 2020-Apr-04 at 15:49

I) The issue

I cannot install petsc4py in my Anaconda environment using pip.

Installing with conda doesn't work because it won't check my predefined PETSC_DIR and PETSC_ARCH environment variables during installation. numpy and cython are installed.

The error output by pip install is shown in section IV, below.

II) Versions

I have Ananconda 2020.02, installed with Python 3.7. My OS is Ubuntu 18.04.

III) Reproducing the issue 1) Make a user installation of OpenMPI 4.0.3

Configured using

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ANSWER

Answered 2020-Apr-04 at 15:49

I was trying to install petsc4py with the then latest released version 3.12.0 while having installed and configured PETSc version 3.13.0. This now seems quite obvious that it wouldn't work, but there wasn't a clear mention of this in the documentation.

You can either install the none-released version using pip install https://bitbucket.org/petsc/petsc4py/issues/137/error-installing-in-anaconda-environment OR wait for it to be released officially!

Important conclusion

Make sure that your version of PETSc is the same as petsc4py!

Source https://stackoverflow.com/questions/61018455

QUESTION

Undefined reference to `ParMETIS_V3_PartMeshKway'

Asked 2019-Feb-04 at 15:51

I use this c++ code

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ANSWER

Answered 2019-Feb-04 at 15:51

You also need to link against Parmetis itself:

Source https://stackoverflow.com/questions/54518251

QUESTION

pyinstaller executable doesn't run in Ubuntu 18.04.1

Asked 2018-Nov-16 at 23:49

I looked through other posts and they didn't seem to address the specific issue where nothing happens when I try to execute a compiled program.

Not sure if this is an Ubuntu issue or a python issue... Either way I'm very new to both so I'm sure there's some simple answer to this.

I wrote a simple program

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ANSWER

Answered 2018-Nov-16 at 23:49

Try running it like this: ./mytest

Bash only looks is the current directory if you specify the relative path to the file.

Source https://stackoverflow.com/questions/53346803

QUESTION

Is the ParMetis generating any information about neighbors of a processor?

Asked 2018-Sep-20 at 14:11

I am working on a parallel finite element method on moving meshes.

So I will need to call ParMETIS_V3_AdaptiveRepart from ParMetis to perform re-partitioning every time I re-mesh.

When successful, the function only generates the partitioning information, i.e. the elements on the processors.

However, the neighbors of a process are important as well, in order to construct the ghost layers of a sub-mesh.

So I am wondering if there is any efficient way to get the information about shared (overlapped) entities and neighbors, or does the ParMetis actually provide this information?

...

ANSWER

Answered 2018-Sep-20 at 14:11

ParMetis is the function ParMETIS_V3_AdaptiveRepart does more or less the smae thing as ParMETIS_V3_PartKway

The ouput of ParMETIS_V3_PartKway is part "an array of size equal to the number of locally-stored vertices. Upon successful completion the partition vector of the locally-stored vertices is written to this array."

It also returns the number of edges that are cut. (which is only a part of what you want).

But METIS does not provide a way to create the "ghost layers" as you elegantly say.

However since you have the created the graph you know how to find each neighbour for each element. And you can check if your neighbour element is in your current process's graph and if part[element]==part[neighbour_element]. If the neighbour element is not in your current process you will have to do a bit of MPI.

Source https://stackoverflow.com/questions/48053642

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install ParMETIS

You can download it from GitHub.

Support

ParMETIS uses the same data types for integers and floating point numbers (32/64 bit integers and single/double precision floating point numbers) as used when configuring and building METIS.

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