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YT rendering on clusters
To install YT for CPU rendering on a cluster in your own directory, please do
$ module load python mpi4py $ virtualenv astro # install Python tools in your $HOME/astro $ source ~/astro/bin/activate $ pip install cython $ pip install numpy $ pip install yt
Then, in normal use, simply load the environment and start python
$ source ~/astro/bin/activate # load the environment $ python ... $ deactivate
We assume that you have downloaded the sample dataset Enzo_64 from http://yt-project.org/data. Start with the following script `grids.py` to render 90 frames rotating the dataset around the vertical axis
import yt
from numpy import pi
yt.enable_parallelism() # turn on MPI parallelism via mpi4py
ds = yt.load("Enzo_64/DD0043/data0043")
sc = yt.create_scene(ds, ('gas', 'density'))
cam = sc.camera
cam.resolution = (1024, 1024) # resolution of each frame
sc.annotate_domain(ds, color=[1, 1, 1, 0.005]) # draw the domain boundary [r,g,b,alpha]
sc.annotate_grids(ds, alpha=0.005) # draw the grid boundaries
sc.save('frame0000.png', sigma_clip=4)
nspin = 90
for i in cam.iter_rotate(pi, nspin): # rotate by 180 degrees over nspin frames
sc.save('frame%04d.png' % (i+1), sigma_clip=4)
and the job submission script `yt-mpi.sh`
#!/bin/bash #SBATCH --time=0:30:00 # walltime in d-hh:mm or hh:mm:ss format #SBATCH --ntasks=4 # number of MPI processes #SBATCH --mem-per-cpu=3800 #SBATCH --account=... source $HOME/astro/bin/activate srun python grids.py
Then submit the job with `sbatch yt-mpi.sh`, wait for it to finish, and then create a movie at 30fps
$ ffmpeg -r 30 -i frame%04d.png -c:v libx264 -pix_fmt yuv420p -vf "scale=trunc(iw/2)*2:trunc(ih/2)*2" grids.mp4