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To run multiple models, I modify the contents in compact.osw by using Python, and then change the models by using the compact.osw. After that, I can run the new models. (''' cd path/to/Examples/compact_osw ./path/to/openstudio.exe run -w compact.osw ''') Now, I want to make the works parallel. Because I use OpenStudio 2.1 in Ubuntu and decide to do sampling methods locally, I do not want to use PAT to do the work. Does anyone have some experience about such work. Are any packages in Python, such as joblib.Parallel, pp, recommended to do the work?

To run multiple models, I modify the contents in compact.osw by using Python, and then change the models by using the compact.osw. After that, I can run the new models. (''' cd path/to/Examples/compact_osw ./path/to/openstudio.exe run -w compact.osw ''') Now, I want to make the works parallel. Because I use OpenStudio 2.1 in Ubuntu and decide to do sampling methods locally, I do not want to use PAT to do the work. Does anyone have some experience about such work. Are any packages in Python, such as joblib.Parallel, pp, recommended to do the work?

To run multiple models, I modify the contents in compact.osw by using Python, and then change the models by using the compact.osw. After that, I can run the new models. (''' cd path/to/Examples/compact_osw ./path/to/openstudio.exe run -w compact.osw ''') Now, I want to make the works parallel. Because I use OpenStudio 2.1 in Ubuntu and decide to do sampling methods locally, I do not want to use PAT to do the work. Does anyone have some experience about such work. Are any packages in Python, such as joblib.Parallel, pp, recommended to do the work?