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Slow Progress in Cluster Nodes

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Old   May 12, 2022, 08:45
Default Slow Progress in Cluster Nodes
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Richard
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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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Old   May 16, 2022, 08:26
Default Use Intel MPI
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Richard
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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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Old   May 25, 2022, 05:52
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If we use this, the simulation is not at all starting.
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Old   May 26, 2022, 17:18
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Praveen Srikanth
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Hi,

Are you able to run your case with other mpi versions (mpich?)? What error message do you get?

Praveen
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Old   June 3, 2022, 08:14
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Quote:
Originally Posted by psrikanth View Post
Hi,

Are you able to run your case with other mpi versions (mpich?)? What error message do you get?

Praveen
Hi,

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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