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”)
# 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?
Rick Sarmento SESE Astronomy/Astrophysics Grad Student email@example.com