<div dir="auto"><a href="https://github.com/JuliaParallel/ClusterManagers.jl">https://github.com/JuliaParallel/ClusterManagers.jl</a><div dir="auto"><br></div><div dir="auto">Sorry for the terse reply. Warm evening sitting beside the Maschsee in Hannover. Modelling beer evaporation.</div></div><br><div class="gmail_quote"><div dir="ltr">On Fri, 27 Jul 2018 8:47 pm Lux, Jim (337K), <<a href="mailto:james.p.lux@jpl.nasa.gov">james.p.lux@jpl.nasa.gov</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
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<p class="MsoNormal">I’ve just started using Jupyter to organize my Pythonic ramblings..<u></u><u></u></p>
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<p class="MsoNormal">What would be kind of cool is to have a high level way to do some embarrassingly parallel python stuff, and I’m sure it’s been done, but my google skills appear to be lacking (for all I know there’s someone at JPL who is doing this, among
the 6000 people doing stuff here).<u></u><u></u></p>
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<p class="MsoNormal">What I’m thinking is this:<u></u><u></u></p>
<p class="MsoNormal">I have a high level python script that iterates through a set of data values for some model parameter, and farms out running the model to nodes on a cluster, but then gathers the results back.
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<p class="MsoNormal">So, I’d have N copies of the python model script on the nodes.
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<p class="MsoNormal">Almost like a pythonic version of pdsh.<u></u><u></u></p>
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<p class="MsoNormal">Yeah, I’m sure I could use lots of subprocess() and execute() stuff (heck, I could shell pdsh), but like with all things python, someone has probably already done it before and has all the nice hooks into the Ipython kernel.<u></u><u></u></p>
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<p class="MsoNormal"><u></u> <u></u></p>
<p class="MsoNormal">James Lux<u></u><u></u></p>
<p class="MsoNormal">Task Manager, DARPA High Frequency Research (DHFR) Space Testbed<u></u><u></u></p>
<p class="MsoNormal">Jet Propulsion Laboratory (Mail Stop 161-213)<u></u><u></u></p>
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<p class="MsoNormal"><u></u> <u></u></p>
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