questions about LocalMapdlPool and launch_mapdl #3115
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By the way, I just run LocalMapdlPool and launch_mapdl in the example showed in https://courses.ansys.com/index.php/courses/pymapdl-to-create-physics-based-datasets-for-ml-ai-applications/lessons/creating-datasets-for-simulation-models-with-pymapdl-lesson-4/ First, the question is what is the advantage of using LocalMapdlPool while it's slower than launch_mapdl |
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Hi @shixinghari Quick thought without diving to much yet. Can you try same configuration regarding number of processors? Then post the new times here, please |
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I think running pool can save the time comsumption, but things are totally different as below, I wonder if I done something wrong
and unlike the example in (https://courses.ansys.com/index.php/courses/pymapdl-to-create-physics-based-datasets-for-ml-ai-applications/lessons/creating-datasets-for-simulation-models-with-pymapdl-lesson-4/)
in my fem model, my CPU takes just 20% when use
just as same when I run
mapdl = launch_mapdl()
But when I run the example in lesson-4, the rate of CPU is much higher.
The situation makes me confused, my study is about bayesian model updating, need to do modal analysis many times, so I tryed LocalMapdlPool to speed up my study, but things is totally different, looking forward to help
about my fem model, I show below
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