Applications/Parmetis - Revision history

Pysdlb: /* Further Information */

2022-11-16T11:10:13Z

‎Further Information

Pysdlb: Pysdlb moved page Parmetis to Applications/Parmetis without leaving a redirect

2017-04-21T09:57:46Z

Pysdlb moved page Parmetis to Applications/Parmetis without leaving a redirect

Pysdlb at 09:57, 21 April 2017

2017-04-21T09:57:20Z

Pysdlb: Created page with "TOC ==Application Details== *Description: ParMETIS is an MPI-based parallel library that implements a variety of algorithms for partitioning unstructured graphs, meshes,..."

2017-04-21T09:56:49Z

Created page with "__TOC__ ==Application Details== *Description: ParMETIS is an MPI-based parallel library that implements a variety of algorithms for partitioning unstructured graphs, meshes,..."

New page

__TOC__

==Application Details==
*Description: ParMETIS is an MPI-based parallel library that implements a variety of algorithms for partitioning unstructured graphs, meshes, and for computing fill-reducing orderings of sparse matrices.
*Version: 4.0.3
*Module: parmetis/4.0.3
*Licence: Copyrighted by the Regents of the University of Minnesota. It can be freely used for educational and research purposes.

==Usage==

ParMETIS is an MPI-based parallel library that implements a variety of algorithms for partitioning unstructured graphs, meshes, and for computing fill-reducing orderings of sparse matrices. ParMETIS extends the functionality provided by METIS and includes routines that are especially suited for parallel AMR computations and large scale numerical simulations. The algorithms implemented in ParMETIS are based on the parallel multilevel k-way graph-partitioning, adaptive repartitioning, and parallel multi-constrained partitioning schemes. It is written entirely in ANSI C and MPI and is portable on most parallel computers that support MPI.

ParMETIS provides the following five major functions:

* Graph Partitioning
* Mesh Partitioning
* Graph Repartitioning
* Partitioning Refinement
* Matrix Reordering

===Module===

Consider the following C++ source code which implement
<pre style="background-color: #f5f5dc; color: black; font-family: monospace, sans-serif;">

#include<iostream>
#include "include/parmetis.h"

using std::cout;
using std::endl;

int main()
{
cout << "Test!" << endl;
return 0;
}

</pre>

* Now, loading the module will give you access to the '''parmetis''' library and for completeness the '''openmpi''' and '''gcc''' modules are loaded here too:

<pre style="background-color: #000000; color: white; border: 2px solid black; font-family: monospace, sans-serif;">
[username@login01 ~]$ module add parmetis/4.0.3
[username@login01 ~]$ module add openmpi/1.10.5/gcc-6.3.0
[username@login01 ~]$ module add gcc/6.3.0

[username@login01 ~]$ g++ -metisDEMO.cpp -o metisDEMO -lmetis
</pre>

==Further Information==

* [http://glaros.dtc.umn.edu/gkhome/metis/parmetis/overview http://glaros.dtc.umn.edu/gkhome/metis/parmetis/overview]

{|
|style="width:5%; border-width: 0" | [[File:icon_home.png]]
|style="width:95%; border-width: 0" |
* [[Main_Page|Home]]
* [[Applications|Application support]]
* [[General|General]]
* [[Training|Training]]
* [[Programming|Programming support]]
|-
|}

← Older revision		Revision as of 11:10, 16 November 2022
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	* [http://glaros.dtc.umn.edu/gkhome/metis/parmetis/overview http://glaros.dtc.umn.edu/gkhome/metis/parmetis/overview]		* [http://glaros.dtc.umn.edu/gkhome/metis/parmetis/overview http://glaros.dtc.umn.edu/gkhome/metis/parmetis/overview]

−	{\|	+	{{Librariespagenav}}
−	~~\|style="width:5%; border-width: 0" \| [[File:icon_home.png]]~~
−	~~\|style="width:95%; border-width: 0" \|~~
−	* [[Main_Page\|Home]]
−	* [[Applications\|Application support]]
−	* [[General\|General]]
−	* [[Training\|Training]]
−	* [[Programming\|Programming support]]
−	\|-
−	\|}

← Older revision	Revision as of 09:57, 21 April 2017
(No difference)

@@ Line 9: / Line 9: @@
 ==Usage==
- ParMETIS is an MPI-based parallel library that implements a variety of algorithms for partitioning unstructured graphs, meshes, and for computing fill-reducing orderings of sparse matrices. ParMETIS extends the functionality provided by METIS and includes routines that are especially suited for parallel AMR computations and large scale numerical simulations. The algorithms implemented in ParMETIS are based on the parallel multilevel k-way graph-partitioning, adaptive repartitioning, and parallel multi-constrained partitioning schemes.  It is written entirely in ANSI C and MPI and is portable on most parallel computers that support MPI.
+ParMETIS is an MPI-based parallel library that implements a variety of algorithms for partitioning unstructured graphs, meshes, and for computing fill-reducing orderings of sparse matrices. ParMETIS extends the functionality provided by METIS and includes routines that are especially suited for parallel AMR computations and large scale numerical simulations. The algorithms implemented in ParMETIS are based on the parallel multilevel k-way graph-partitioning, adaptive repartitioning, and parallel multi-constrained partitioning schemes.  It is written entirely in ANSI C and MPI and is portable on most parallel computers that support MPI.
 ParMETIS provides the following five major functions:
@@ Line 23: / Line 23: @@
 Consider the following C++ source code which implement
 <pre style="background-color: #f5f5dc; color: black; font-family: monospace, sans-serif;">

Applications/Parmetis - Revision history

Pysdlb: /* Further Information */

Pysdlb: Pysdlb moved page Parmetis to Applications/Parmetis without leaving a redirect

Pysdlb at 09:57, 21 April 2017

Pysdlb: Created page with "__TOC__ ==Application Details== *Description: ParMETIS is an MPI-based parallel library that implements a variety of algorithms for partitioning unstructured graphs, meshes,..."

Pysdlb: Created page with "TOC ==Application Details== *Description: ParMETIS is an MPI-based parallel library that implements a variety of algorithms for partitioning unstructured graphs, meshes,..."