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We recommend users to use FastX, a web-based remote visualisation service on Topaz, to launch compute-intensive visualisation packages such as ParaView, VisIt or VMD. Refer to the Remote Visualisation - Topaz /wiki/spaces/VIS/pages/58303256 support page for more information.
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| Code Block |
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| language | bash |
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| theme | Emacs |
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| title | Listing 21. GPU job array example |
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| #!/bin/bash --login
#SBATCH --account=[your-account]-gpu
#SBATCH --array=0-7
#SBATCH --partition=gpu
#SBATCH --nodes=1
#SBATCH --ntasks=1
#SBATCH --gpu=1
#SBATCH --time=00:10:00
#Go to the right directory for this instance of the job array using SLURM_ARRAY_TASK_ID as the identifier:
#We are assuming all the input files needed for each specific job reside in the corresponding working directory
cd workingDir_${SLURM_ARRAY_TASK_ID}
#Run the cudahip executable (asumingassuming the same executable will be used by each job, and that it resides in the submission directory):
srun -u -N 1 -n 1 ${SLURM_SUBMIT_DIR}/main_hip |
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