Difference between revisions of "P4est"

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==System Variables==
 
==System Variables==
* HPC_{{#uppercase:{{#var:app}}}}_DIR - installation directory
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* HPC_{{uc:{{#var:app}}}}_DIR - installation directory
 
<!--Configuration-->
 
<!--Configuration-->
 
{{#if: {{#var: conf}}|==Configuration==
 
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If you publish research that uses {{#var:app}} you have to cite it as follows:
 
If you publish research that uses {{#var:app}} you have to cite it as follows:
  
[http://p4est.github.io/papers/BursteddeWilcoxGhattas11.pdf Carsten Burstedde, Lucas C. Wilcox, and Omar Ghattas, p4est: Scalable Algorithms for Parallel Adaptive Mesh Refinement on Forests of Octrees.
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[http://p4est.github.io/papers/BursteddeWilcoxGhattas11.pdf Carsten Burstedde, Lucas C. Wilcox, and Omar Ghattas, p4est: Scalable Algorithms for Parallel Adaptive Mesh Refinement on Forests of Octrees. Published in SIAM Journal on Scientific Computing 33 no. 3 (2011), pages 1103-1133]
Published in SIAM Journal on Scientific Computing 33 no. 3 (2011), pages 1103-1133]
 
  
 
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Revision as of 21:23, 6 December 2019

Description

p4est website  

The p4est software library enables the dynamic management of a collection of adaptive octrees, conveniently called a forest of octrees. p4est is designed to work in parallel and scales to hundreds of thousands of processor cores. It is free software released under GNU General Public Licence version 2, or (at your option) any later version.

Required Modules

Serial

  • p4est

System Variables

  • HPC_P4EST_DIR - installation directory




Citation

If you publish research that uses p4est you have to cite it as follows:

Carsten Burstedde, Lucas C. Wilcox, and Omar Ghattas, p4est: Scalable Algorithms for Parallel Adaptive Mesh Refinement on Forests of Octrees. Published in SIAM Journal on Scientific Computing 33 no. 3 (2011), pages 1103-1133