Difference between revisions of "Parallelization by Jozsef Nagy"

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* '''affiliation''': eulerian-solutions e.U., Linz, Austria
 
* '''affiliation''': eulerian-solutions e.U., Linz, Austria
 
* '''contact''': <mail address='jnmlujnmlu@gmail.com' description='author'>click here for email address</mail>
 
* '''contact''': <mail address='jnmlujnmlu@gmail.com' description='author'>click here for email address</mail>
* '''OpenFOAM version''': v1912
+
* '''OpenFOAM version''': v2006
 
* '''Published under''': CC BY-NC-SA license ([https://creativecommons.org/licenses creative commons licenses])
 
* '''Published under''': CC BY-NC-SA license ([https://creativecommons.org/licenses creative commons licenses])
  

Latest revision as of 04:56, 28 July 2020

Go back to Day 10.

Parallelization - depthCharge

2D scalar transport


For real life geometries it is important to decrease the calculation time in order to optimize your simulation efficiency. This can be done by running simulations on multiple cores of a given computer in parallel. In this video you will learn the idea behind parallelization, what you have to do to be able to run your simulation in parallel and how to post process such cases. In particular we will take a look at

  • understanding paralellization
  • steps of parallelization
  • case setup
  • visualization of decomposition
  • running the case
  • post processing