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General computational fluid dynamics solver (cell-centered FVM). GPUs are supported. |
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Info |
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To obtain and checkout a product license please read Ansys Suite first. |
Documentation and Tutorials
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#!/bin/bash #SBATCH -t 00:10:00 #SBATCH --nodes=2 #SBATCH --ntasks-per-node=96 #SBATCH -L ansys #SBATCH -p standard96:test #SBATCH --mail-type=ALL #SBATCH --output="cavity.log.%j" #SBATCH --job-name=cavity_on_cpu module load ansys/2023r2 srun hostname -s > hostfile echo "Running on nodes: ${SLURM_JOB_NODELIST}" fluent 2d -g -t${SLURM_NTASKS} -ssh -mpi=intel -pib -cnf=hostfile << EOFluentInput >cavity.out.$SLURM_JOB_ID ; this is an Ansys journal file aka text user interface (TUI) file file/read-case initial_run.cas.h5 parallel/partition/method/cartesian-axes 2 file/auto-save/append-file-name time-step 6 file/auto-save/case-frequency if-case-is-modified file/auto-save/data-frequency 10 file/auto-save/retain-most-recent-files yes solve/initialize/initialize-flow solve/iterate 100 exit yes EOFluentInput echo '#################### Fluent finished ############' |
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#!/bin/bash #SBATCH -t 00:10:00 #SBATCH --nodes=2 #SBATCH --ntasks-per-node=4 #SBATCH -L ansys #SBATCH -p gpu-a100 ### on GPU-cluster of NHR@ZIB ### (on Emmy gpu-a100 is called gpu) #SBATCH --output="slurm.log.%j" #SBATCH --job-name=cavity_on_gpu module add gcc openmpi/gcc.11 # external OpenMPI is CUDA aware module add ansys/2023r2_mlx_openmpiCUDAaware hostlist=$(srun hostname -s | sort | uniq -c | awk '{printf $2":"$1","}') echo "Running on nodes: $hostlist" cat <<EOF >fluent.jou ; this is an Ansys journal file aka text user interface (TUI) file parallel/gpgpu/show file/read-case initial_run.cas.h5 solve/set/flux-type yes solve/iterate 100 file/write-case-data outputfile ok exit EOF fluent 2d -g -t${SLURM_NTASKS} -gpgpu=4 -mpi=openmpi -pib -cnf=$hostlist -i fluent.jou >/dev/null 2>&1 echo '#################### Fluent finished ############' |
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Info |
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Ansys only supports certain GPU vendors/models: |
Info |
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The number of CPU-cores (e.g. ntasks-per-node=Integer*GPUnr) per node must be an integer multiple of the GPUs (e.g. gpgpu=GPUnr) per node. |
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