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habrok:examples:mathematica [2019/11/13 11:41] – external edit 127.0.0.1habrok:examples:mathematica [2025/06/11 12:09] (current) – Use Mathematica syntax highlighting pedro
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 The following example can be used as a template for Mathematica jobs: The following example can be used as a template for Mathematica jobs:
  
-<code>+<code bash>
 #!/bin/bash #!/bin/bash
 #SBATCH --job-name=Mathematica #SBATCH --job-name=Mathematica
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 #SBATCH --time=00:05:00 #SBATCH --time=00:05:00
  
-module load Mathematica/11.3.0+module purge 
 +module load Mathematica/13.1.0
  
 math -script myscript.m math -script myscript.m
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 Your script can contain any Mathematica code, e.g.: Your script can contain any Mathematica code, e.g.:
  
-<code>+<code mathematica>
 Select[Range[8000],PrimeQ[2^# - 1]&]  Select[Range[8000],PrimeQ[2^# - 1]&] 
 </code> </code>
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 Once you have started multiple kernels, you can use built-in functions for parallelizing some of the work, e.g. the Parallelize function: Once you have started multiple kernels, you can use built-in functions for parallelizing some of the work, e.g. the Parallelize function:
  
-<code>+<code mathematica>
 LaunchKernels[4] LaunchKernels[4]
 p=Parallelize[Select[Range[8000],PrimeQ[2^# - 1]&]] p=Parallelize[Select[Range[8000],PrimeQ[2^# - 1]&]]
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 In your job script, leave ''%%--nodes=1%%'', but set ''%%--cpus-per-task=4%%'' in order to get four cores allocated to your job. You can automatically set it in the right way by reading the requested number of cores through an environment variable that is set by the scheduler: In your job script, leave ''%%--nodes=1%%'', but set ''%%--cpus-per-task=4%%'' in order to get four cores allocated to your job. You can automatically set it in the right way by reading the requested number of cores through an environment variable that is set by the scheduler:
  
-<code>+<code mathematica>
 ncores = ToExpression[Environment["SLURM_CPUS_PER_TASK"]] ncores = ToExpression[Environment["SLURM_CPUS_PER_TASK"]]
 LaunchKernels[ncores] LaunchKernels[ncores]