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#1 |
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New Member
Richard
Join Date: Mar 2022
Posts: 4
Rep Power: 5 ![]() |
Hi,
I'm testing Converge CFD on cluster with 4 nodes & 2 nodes. I'm experiencing slow progress and less usage of CPU Model name: Water_pump_rotary_MRF_transient_RANS Node Configuration: AMD HBv3 64 CPU in each node ************************************************** ********** Slurm run script: #!/bin/bash #SBATCH --job-name=ConvCFD #SBATCH --partition=hpc #SBATCH --nodes=4 #SBATCH --ntasks-per-node=64 cd /home/ConvergeCFD_Test/Water_pump_rotary_MRF_transient_RANS MACHINES=$(srun hostname | sort | uniq -c | awk '{print $2 ":" $1}' | paste -s -d "\n" -) for i in "${MACHINES[@]}" do echo "$i">hostfile done echo $MACHINES #Run Converge CFD export RLM_LICENSE="2765@10.32.0.4" source /home/Convergent_Science/Environment/scripts/CONVERGE/CONVERGE-MPICH/3.1.5.sh mpirun -hostfile hostfile converge-mpich --super &> logfile_4Node_Water_Pump.out ************************************************** ********* ASK: I can see all the CPUs are running with Converge CFD, but not 100%, all the CPUs are utilizing only about 30-40% and overall consumption also around 40%. Is there any way to utilize the full potential of CPU from Convergent Science side??? Note: < dev/null> is not working. If we use this, the simulation is not at all starting. Kindly do the needful. |
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#2 |
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New Member
Richard
Join Date: Mar 2022
Posts: 4
Rep Power: 5 ![]() |
HI,
I solved the issue by using Intel MPI instead of MPICH. I have infiniband network and Intel MPI will work better with it. Thanks. |
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#3 |
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New Member
Join Date: May 2022
Posts: 1
Rep Power: 0 ![]() |
If we use this, the simulation is not at all starting.
__________________
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#4 |
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New Member
Praveen Srikanth
Join Date: May 2021
Location: Convergent Science, Madison, WI
Posts: 19
Rep Power: 6 ![]() |
Hi,
Are you able to run your case with other mpi versions (mpich?)? What error message do you get? Praveen |
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#5 | |
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New Member
Richard
Join Date: Mar 2022
Posts: 4
Rep Power: 5 ![]() |
Quote:
I'm not getting any error if I use MPICH, just the CPUs are not utilized fully to 100%. When I changed the MPI to IntelMPI, all the CPUs are utilized fully. |
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| Tags |
| cluster setup, converge cfd, cpu full, slurm |
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