I have a windows 10 laptop (with a gpu) at home and a macbook at my office, both with v11.3.

What are steps to use the windows machine remotely for training? That is, I want to launch and run kernels on the windows machine using my macbook's front-end.

I've done this with ubuntu boxes on AWS, but perhaps this is easier/harder?

  • 1
    $\begingroup$ You can ssh into the remote machine? $\endgroup$
    – Jason B.
    Mar 30, 2018 at 18:02
  • 1
    $\begingroup$ I'm doing it with remote kernel launching through ssh. $\endgroup$
    – swish
    Mar 30, 2018 at 20:55
  • 1
    $\begingroup$ This may help you? mathematica.stackexchange.com/questions/67767/… $\endgroup$
    – chris
    Apr 1, 2018 at 16:58
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    $\begingroup$ @halirutan Actually, I think this question could be easily answered. Just use channels or any syncing service + some kind of daemon. $\endgroup$
    – M.R.
    Apr 19, 2018 at 20:02
  • 1
    $\begingroup$ Additionally, I'm not on Windows 10. But if you like to post an answer, go ahead. If it works, be sure you get my upvote. $\endgroup$
    – halirutan
    Apr 19, 2018 at 20:20

1 Answer 1


Ok, here's a file syncing service solution:

Step 1: Get a Dropbox account and make two folders in your dropbox: 'to_run/' and 'finished/'.

Step 2: Paste and run this in a notebook on your Windows box:

Options[run] = {"Print"->False};
(* runs a notebook f and saves its result *)
run[f_, opts:OptionsPattern[]] := Module[
     {nb, pdfName, doneName, tmpName, t, msg},
        tmpName = StringInsert[f, "_IN_PROGRESS",-4]; CopyFile[f, tmpName];
        doneName = StringReplace[tmpName, "_IN_PROGRESS" -> "_DONE"]; t = Now;
        nb = NotebookOpen[tmpName]; NotebookEvaluate[nb, InsertResults->True];
            pdfName = StringTake[doneName,;;-4]<>".pdf";
            NotebookPrint[nb, pdfName];
        NotebookClose[nb]; CopyFile[tmpName, doneName]; DeleteFile[tmpName];
        msg = StringForm["``: Evaluted `` in ``", Now, FileBaseName@f, Now-t];
        Print[msg]; ChannelSend["example", msg]; (* e.g. monitor things *)

runner[indir_, outdir_] := Module[
    {fns = {}, done = {}, ran, to},
      Print[StringForm["Listening for files in ``", indir]];
        Pause[3]; done = {};
        fns = FileNames["*.nb", indir];
                Print[StringForm["Working on ``",f]];
                to = FileNameJoin[{outdir, FileNameTake[f,-1]}];
                CopyFile[f, to]; ran = run[to];
                If[FileExistsQ[to], DeleteFile[f]; DeleteFile[to]];
                AppendTo[done, f];
        ,{f, fns}]

runner["C:\\Users\\Dropbox\\to_run" , "C:\\Users\\Dropbox\\finished"]

Step 3: Drag a notebook you want to remotely evaluate into the 'to_run/' folder and wait for the notebook result to appear.


  • This is just a 5-min prototype, you should re-write this to make it robust to notebooks that crash the kernel and handle other issues like name collisions.
  • Make sure both laptops have persistant internet access and a dropbox daemon running.
  • You can add monitoring easily through a channel with ChannelListener and ChannelSend
  • To easily save things that you need in the resulting notebook use DumpSave, PersistantSymbol, or just throw in some Iconize calls.
  • $\begingroup$ This works awesomely! I don’t know how to award the bounty I think it expired $\endgroup$
    – user5601
    Apr 29, 2018 at 23:22
  • $\begingroup$ Nice and simple. You got my vote for this. $\endgroup$
    – halirutan
    Apr 29, 2018 at 23:49
  • $\begingroup$ Can you make this work for Linux? So I can train in AWS? $\endgroup$
    – user5601
    Apr 30, 2018 at 17:56
  • $\begingroup$ @user5601 Maybe halirutan can think of something, but I'm not sure of Dropbox works on linux shell. $\endgroup$
    – M.R.
    May 1, 2018 at 2:15

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