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habrok:examples:gaussian [2022/08/09 06:24] – external edit 127.0.0.1habrok:examples:gaussian [2023/03/22 13:24] (current) fokke
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 #SBATCH --mem=4gb #SBATCH --mem=4gb
  
-module load Gaussian/09-D.01-GaussView-5.0.9 +module load Gaussian/16.B.01 
-srun g09 inputfile.inp outputfile.out+srun g16 inputfile.inp outputfile.out
 </code> </code>
 Gaussian can only do shared memory parallel calculations, i.e. using processors within the same node, so %%--nodes%% should always be 1. Furthermore, it is important to start only one Gaussian process/task, which itself will make use of the available cores. This is achieved by settings %%--ntasks%% to 1, while %%--cpus-per-task%% can vary: srun will then launch only one Gaussian process. Gaussian can only do shared memory parallel calculations, i.e. using processors within the same node, so %%--nodes%% should always be 1. Furthermore, it is important to start only one Gaussian process/task, which itself will make use of the available cores. This is achieved by settings %%--ntasks%% to 1, while %%--cpus-per-task%% can vary: srun will then launch only one Gaussian process.