You should see that it executes about twice as fast as without the setting of MKL_NUM_THREADS. When you call this example in a job file with The effect can be seen in the following example. To benefit from this you have to set the environment variable MKL_NUM_THREADS to the number of cores you requested for your job. Some functions are already internally multithreaded by using the built-in MKL library.
Specific information on the use in a compute cluster is in the next section.Ĥ Parallel Computation 4.1 Implicit Multithreading Input is taken from script.m:įor an introduction to Mathematica we refer to the online documentation ( Mathematica Documentation Center). Interactive with GUI (needs X11 forwarding or VNC):.Alternatively, Mathematica can be used interactively on the command line or with a graphical front-end.Īfter loading Mathematica the different modes can be used as follows. Mathematica can run a script in batch mode which is useful when submitting batch jobs to the cluster. But if you do, you are independent of a license server.
#Mathematica modules how to
Instructions and an example on how to compile your binary can be found here:įreiburg has enough licenses, so that Mathematica does not need to be compiled. You can still run Mathematica compilations on the cluster by using the Mathematica "compile" function to compile a binary that can only calculate your specific problem and does not need licenses. Using Mathematica network licenses on the clusters is not supported, because Ulm has a very limited number of licenses that have to be reserved for interactive use. Mathematica uses network licenses from the home university of the user, not of the site where the user is calculating Mathematica is a software from Wolfram for symbolic and numerical computation with many features such as powerful visualization and application specific functions.
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