Summer2009:Implementing parallelism in python

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  Project Week Main Page

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.
• improved performance with cache mechanism
• complete parallelization of connection filtering
• complete batch for different studies configuration