# Inefficient use of sources on HPC systems
**URL:** https://discourse.paraview.org/t/inefficient-use-of-sources-on-hpc-systems/16815
**Category:** ParaView Support
**Created:** [June 14, 2025, 7:21pm UTC](https://discourse.paraview.org/t/inefficient-use-of-sources-on-hpc-systems/16815 "2025-06-14T19:21:11Z")
**Posts on this page:** 4
**Page:** 1
### Author:  [@Ercan](https://discourse.paraview.org/u/Ercan)
#### Post date: [June 14, 2025, 7:21pm UTC](https://discourse.paraview.org/t/inefficient-use-of-sources-on-hpc-systems/16815/1 "2025-06-14T19:21:11Z")
Hello everybody,
I am trying to use Paraview-Superbuild on a HPC cluster to generate an animation via terminal. When I run my batch file, which looks like this:
```auto
#!/bin/bash
#SBATCH -p
#SBATCH -A
#SBATCH -J unst
#SBATCH --nodes=1
#SBATCH --ntasks=55
#SBATCH --cpus-per-task=1
#SBATCH -C weka
#SBATCH --time=12:10:00
#SBATCH --output=slurm-%j.out
#SBATCH --error=slurm-%j.err
echo "SLURM_NODELIST $SLURM_NODELIST"
echo "NUMBER OF CORES $SLURM_NTASKS"
module purge
module load comp/gcc/14.1.0
export PATH=/arf/program/cmake-3.31.2/bin:$PATH
export PATH=/arf/program/ParaView/paraview-superbuild/install/bin:$PATH
mpiexec pvbatch --force-offscreen-rendering --verbosity=OFF sample3D.py
sstat -j $SLURM_JOB_ID
```
I always get the warnings in the picture.
What could be the reason for this and any idea on how to solve it?
---
### Author:  [@mwestphal](https://discourse.paraview.org/u/mwestphal)
#### Post date: [June 16, 2025, 6:30am UTC](https://discourse.paraview.org/t/inefficient-use-of-sources-on-hpc-systems/16815/2 "2025-06-16T06:30:25Z")
> I always get the warnings in the picture.
These warning are not coming from ParaView, are they coming from slurm maybe ?
> `mpiexec pvbatch --force-offscreen-rendering --verbosity=OFF sample3D.py`
Please note this is not running distributed but serially, on a single MPI process
> `export PATH=/arf/program/cmake-3.31.2/bin:$PATH`
I don’t see a reason why you would need CMake in your path
---
### Author:  [@Ercan](https://discourse.paraview.org/u/Ercan)
#### Post date: [June 16, 2025, 8:10am UTC](https://discourse.paraview.org/t/inefficient-use-of-sources-on-hpc-systems/16815/3 "2025-06-16T08:10:09Z")
> [@mwestphal](#):
>
> These warning are not coming from ParaView, are they coming from slurm maybe ?
Exactly, they are from slurm. But I guess they are saying that ParaView does not use all of the sources, right? I guess every CPU is used, let’s say, 5% instead of 90% and this creates a warning. I had an screenshot of memory inspector taken some time ago where I had to open ParaView on OpenOnDemand with GUI and it showed something similar. HPC system bans the user due to inefficient use and that would create a lot of hassle for me ☹
> [@mwestphal](#):
>
> Please note this is not running distributed but serially, on a single MPI process
How can I make it work distributed? Would it distribute the load all the available CPUs equally? I noticed that task0 takes the main load.
> [@mwestphal](#):
>
> I don’t see a reason why you would need CMake in your path
I always put install dependencies in my slurm file, as a habit. Would it affect anything?
---
### Author:  [@mwestphal](https://discourse.paraview.org/u/mwestphal)
#### Post date: [June 16, 2025, 8:47am UTC](https://discourse.paraview.org/t/inefficient-use-of-sources-on-hpc-systems/16815/4 "2025-06-16T08:47:44Z")
> [@Ercan](#):
>
> How can I make it work distributed? Would it distribute the load all the available CPUs equally? I noticed that task0 takes the main load.
`mpiexec -np N`, where N is the number of cores you want to use, however, in the context of HPC and multi node computation, you may need to generate and use a host file.