Difference between revisions of "Summer2009:Implementing parallelism in python"
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Revision as of 18:59, 9 June 2009
Home < Summer2009:Implementing parallelism in python
Key Investigators
- BWH: Julien de Siebenthal, Sylvain Bouix
Objective
We are investigating ways of running computational intensive simulations with the python language.
Approach, Plan
Our approach is to subdivide highly intensive computational tasks and profit of the parallelism offered by current multicore machines.
During the summer week, we will discuss improvements on the current implementation and possibly other approaches that could complement ours.
Progress
Software for parallelizing python tasks is done. It uses parallel python for that purpose and was tested successfully on fat nodes and the cluster at SPL.
