Remove outdated HPC instructions

README.md

@@ -65,54 +65,4 @@ Running locally on your machine might be too slow or not fitting into RAM for hi
 
 The idea here is to create the scene in ParaView locally, save it to a state file, and then render it on a remote cluster. As the paths to the data files might be different locally and on the cluster, one has to readjust them by editing the state file. As I didn't write yet the script to automatically swap the path, one has has to do it manually.
 
-The below instructions are currently outdated.
-
-1. Copy `render/render.begin` and your state file (`.pvsm`) to the cluster.
-
-2. Adjust the number of nodes, path to `rose.sif` container, and other parameters in `render.begin`.
-
-3. Begin the rendering job on your state using `spanner`:
-```shell
-spanner begin -f /path/to/render.begin state.pvsm
-```
-4. Check the status of the job:
-```shell
-spanner list
-```
-
-6. Track the process:
-```shell
-spanner logs -f rose_job_name
-```
-
-7. The job will create a directory with the same name as the state file, and output the frames there.
-
-8. Create a video named `output.mp4` from the frames in the run directory, adding dark background:
-```shell
-apptainer exec --bind /scratch:/scratch --bind /work:/work ~/apptainers/rose-v2.0.0.sif \
-     create_video.py --frames-dir rendered --background-color 0x161616 --output output.mp4
-```
-
-### Running parallel frame postprocessing on an HPC cluster
-
-1. Copy `render/overplot/overplot.begin` to the cluster.
-
-2. Adjust the number of nodes, path to `rose.sif` container, and other parameters in `overplot.begin`.
-
-3. Begin the rendering job on your state:
-```shell
-spanner begin -f /path/to/overplot.begin state.pvsm
-```
-
-4. The job will plot legends and a colorbar on top of the frames in the frame directory, and save
-postprocessed frames into `overplotted` subdirectory.
-
-5. Create a video from these frames:
-```shell
-apptainer exec --bind /scratch:/scratch --bind /work:/work ~/apptainers/rose-v2.0.0.sif \
-     create_video.py --frames-dir overplotted --output output-overplotted.mp4
-```
-
-This is your final movie, enjoy! 💫
-
-_Aquí y ahora puede comenzar tu viaje._
+_To be written_