![]() ![]() Use this line as-is for connection with your client. However, since the node names of theĬluster are not present in the public domain name system (only cluster-internally), you cannot just This contains the node name which your job and server runs on. Once the resources are allocated, the pvserver is started in parallel and connection information If the default port 11111 is already in use, an alternative port can be specified via -sp=port. Srun: job 2744818 queued and waiting for resources srun: job 2744818 has been allocated resources Waiting for client. ![]() Virtual desktop session, then load the ParaView module as usual and start the module srun -nodes = 1 -ntasks = 8 -mem-per-cpu = 2500 -partition =interactive -pty pvserver -force-offscreen-rendering Start a terminal (right-click on desktop -> Terminal) in your First, you need to open a DCV session, so please follow the instructions under This option provides hardware accelerated OpenGL and might provide the best performance and smooth Using the GUI via NICE DCV on a GPU Node ¶ Client-/Server mode with MPI-parallel off-screen-rendering.There are three different ways of using ParaView interactively on ZIH systems: Pvbatch -mpi -egl-device-index = $CUDA_VISIBLE_DEVICES -force-offscreen-rendering pvbatch-script.py Mpiexec -n $SLURM_CPUS_PER_TASK -bind-to core pvbatch -mpi -egl-device-index = $CUDA_VISIBLE_DEVICES -force-offscreen-rendering pvbatch-script.py Module load ParaView/5.9.0-RC1-egl-mpi-Python-3.8 #!/bin/bash #SBATCH -nodes=1 #SBATCH -cpus-per-task=12 #SBATCH -gres=gpu:2 #SBATCH -partition=gpu2 #SBATCH -time=01:00:00 # Make sure to only use ParaView egl, e.g., ParaView/5.9.0-RC1-egl-mpi-Python-3.8, and pass the option For that, make sure to use the modules indexed with ParaView Pvbatch can render offscreen through the Native Platform Interface (EGL) on the graphicsĬards (GPUs) specified by the device index. # Execute pvbatch using 16 MPI processes in parallel on allocated pvbatch -mpi -force-offscreen-rendering pvbatch-script.py # Go to working directory, e.g., cd /path/to/workspace Salloc: Pending job allocation 336202 salloc: job 336202 queued and waiting for resources salloc: job 336202 has been allocated resources salloc: Granted job allocation 336202 salloc: Waiting for resource configuration salloc: Nodes taurusi6605 are ready for job # Make sure to only use module module load ParaView/5.7.0-osmesa Using Client-/Server Mode with MPI-parallel Offscreen-RenderingĬontribute via Local salloc -nodes = 1 -cpus-per-task = 16 -time = 01:00:00 bash GPU-accelerated Containers for Deep Learning (NGC Containers) Transfer Data between ZIH Systems and Object Storage (S3) Transfer Data to/from ZIH Systems via Export Nodes Transfer Data Inside ZIH Systems with Datamover Connecting via Terminal (Linux, Mac, Windows) ![]()
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