Mathematica Can Mathematica Utilize Multi-threading to Enhance Performance?

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The discussion focuses on using Mathematica's multi-threading capabilities to enhance computational efficiency, particularly for users with limited personal computer capacity. One participant shares their experience with inbuilt parallelization on multi-core systems, detailing a method to package code into a single block for execution on a cluster. This involves creating a Mathematica package with an initialization cell, accessing the cluster via SSH, and running the Math Kernel to execute the code. The conversation also touches on the need for guidance on organizing this process, with a reference to the Wolfram documentation on parallel computing provided as a potential resource.
sukharef
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Hello?
Has somebody used or has experience about using Mathematica's code with multi threading for increasing it's capacity and efficiency or smth like this?
My personal computer hasn't enough capacity to calculate all i need so now I'm looking for using Math on cluster.
Thanks!
 
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I use inbuilt parallelization in Mathematica on multi core systems, do you have a specific question? What I do is turn the code i want to run into a single block that can be run in one go and turn it into a Mathematica package with the only cell being an initialization cell. Then you can ssh into the cluster you have that file on and run the Math Kernel, load the package and it will run.
 
FunkyDwarf said:
I use inbuilt parallelization in Mathematica on multi core systems, do you have a specific question? What I do is turn the code i want to run into a single block that can be run in one go and turn it into a Mathematica package with the only cell being an initialization cell. Then you can ssh into the cluster you have that file on and run the Math Kernel, load the package and it will run.

My question is how to orgainize this process actually. Maybe there is a manual for it.
 

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