Hello,

I’m pretty new to yt… I’m trying to speed things up significantly since I have rather large RAMSES datasets (running 3Mpc sims with 2^9^3 particles). I’m using STAMPEDE at TACC, https://vis.tacc.utexas.edu/# , to startup a notebook on their visualization nodes (each has 16 cores). I’m trying to use

import yt
yt.enable_parallelism()
ds = yt.load("./output_00011/info_00011.txt”)

and then

# Looking through the "z" axis... Plot temp weighted by density
p = yt.ProjectionPlot(ds, "z", "temperature", weight_field="density")
p.annotate_title(z)
p.show()

but I only see one python process via top … and NO speedup. What do I need to do to take advantage of the 16 cores?

Cheers!

Rick Sarmento
SESE Astronomy/Astrophysics Grad Student