Skip to main content

remote access - Is there a way to detach/reattach the Frontend from a running Mathematica Kernel?


I perform long calculations on a fast remote machine running the Mathematica kernel, where I followed the very useful guide Remote Kernel Strategies to establish the connection. I wonder, however, if there is a way to detach the Frontend from the running kernel in the same way as one can use the Linux program screen to keep remote shell sessions alive. I couldn't find anything similar for Mathematica, even though such a feature would be very convenient. Is there a way of doing that?


Many thanks,


Andreas.




Answer



This comes a little late, but this is my solution:


Remote Machine running linux with tmux (similar to screen but newer, should work with screen but I dont know the commands) and Mathematica 10 installed.


Local Machine running MacOS Yosemite with Mathematica 10.




  1. Launch tmux in remote machine and execute Mathematica:


    tmux


    wolfram (executable to mathematica in terminal mode)





  2. Now create a link with TCPIP protocol. Record the linkname="linkPort1@remoteIP,linkPort2@remoteIP" generated.


    link=LinkCreate[LinkProtocol -> "TCPIP"]                                
    LinkObject[linkPort1@remoteIP,linkPort2@remoteIP, 72, 1]


  3. Now in local machine, start Mathematica and go to Evaluation->Kernel Configuration Options -> Add... and fill out the window just as showed below.Dont forget to replace (insert remote ip ) by the remote machine ip address and insertLinkName by the link name that was generated above enter image description here clic ok. Then open a new notebook and set the above created kernel as the notebooks kernel. Dont evaluate anything yet in this notebook.




  4. Go back to your remote machine and run



    $ParentLink=link


  5. Finally go back to the notebook in your local machine and evaluate something:


    $Version


So now you are running the kernel in the remote machine with the front end in your local machine.





  1. To disconnect from the Kernel, evaluate the following in your notebook:


    LinkClose /@ Links[]


At this point your kernel is still running in the remote machine. To reattach follow steps 2 through 5.


This could be automatized with a script. Also if you know that a port is always available, you could set the link with a persisten name so that you dont have to reconfigure the remote kernel each time you attach.


Comments

Post a Comment

Popular posts from this blog

front end - keyboard shortcut to invoke Insert new matrix

I frequently need to type in some matrices, and the menu command Insert > Table/Matrix > New... allows matrices with lines drawn between columns and rows, which is very helpful. I would like to make a keyboard shortcut for it, but cannot find the relevant frontend token command (4209405) for it. Since the FullForm[] and InputForm[] of matrices with lines drawn between rows and columns is the same as those without lines, it's hard to do this via 3rd party system-wide text expanders (e.g. autohotkey or atext on mac). How does one assign a keyboard shortcut for the menu item Insert > Table/Matrix > New... , preferably using only mathematica? Thanks! Answer In the MenuSetup.tr (for linux located in the $InstallationDirectory/SystemFiles/FrontEnd/TextResources/X/ directory), I changed the line MenuItem["&New...", "CreateGridBoxDialog"] to read MenuItem["&New...", "CreateGridBoxDialog", MenuKey["m", Modifiers-...
Post a Comment
Read more

How to thread a list

I have data in format data = {{a1, a2}, {b1, b2}, {c1, c2}, {d1, d2}} Tableform: I want to thread it to : tdata = {{{a1, b1}, {a2, b2}}, {{a1, c1}, {a2, c2}}, {{a1, d1}, {a2, d2}}} Tableform: And I would like to do better then pseudofunction[n_] := Transpose[{data2[[1]], data2[[n]]}]; SetAttributes[pseudofunction, Listable]; Range[2, 4] // pseudofunction Here is my benchmark data, where data3 is normal sample of real data. data3 = Drop[ExcelWorkBook[[Column1 ;; Column4]], None, 1]; data2 = {a #, b #, c #, d #} & /@ Range[1, 10^5]; data = RandomReal[{0, 1}, {10^6, 4}]; Here is my benchmark code kptnw[list_] := Transpose[{Table[First@#, {Length@# - 1}], Rest@#}, {3, 1, 2}] &@list kptnw2[list_] := Transpose[{ConstantArray[First@#, Length@# - 1], Rest@#}, {3, 1, 2}] &@list OleksandrR[list_] := Flatten[Outer[List, List@First[list], Rest[list], 1], {{2}, {1, 4}}] paradox2[list_] := Partition[Riffle[list[[1]], #], 2] & /@ Drop[list, 1] RM[list_] := FoldList[Transpose[{First@li...
Post a Comment
Read more

mathematical optimization - Minimizing using indices, error: Part::pkspec1: The expression cannot be used as a part specification

I want to use Minimize where the variables to minimize are indices pointing into an array. Here a MWE that hopefully shows what my problem is. vars = u@# & /@ Range[3]; cons = Flatten@ { Table[(u[j] != #) & /@ vars[[j + 1 ;; -1]], {j, 1, 3 - 1}], 1 vec1 = {1, 2, 3}; vec2 = {1, 2, 3}; Minimize[{Total@((vec1[[#]] - vec2[[u[#]]])^2 & /@ Range[1, 3]), cons}, vars, Integers] The error I get: Part::pkspec1: The expression u[1] cannot be used as a part specification. >> Answer Ok, it seems that one can get around Mathematica trying to evaluate vec2[[u[1]]] too early by using the function Indexed[vec2,u[1]] . The working MWE would then look like the following: vars = u@# & /@ Range[3]; cons = Flatten@{ Table[(u[j] != #) & /@ vars[[j + 1 ;; -1]], {j, 1, 3 - 1}], 1 vec1 = {1, 2, 3}; vec2 = {1, 2, 3}; NMinimize[ {Total@((vec1[[#]] - Indexed[vec2, u[#]])^2 & /@ R...
Post a Comment
Read more