Hi all, I try to make some visualizations (density/temperature project) for large simulation with yt. The simulation is 4096^3 unigrid Ramses simulation. I try to implement the basics density and temperature projection plot with following script and I got memory problem and yt run is crashed. ===== from yt.mods import * ds = load("../output_00048/info_00048.txt", fields = ["Density","x-velocity", "y-velocity","z-velocity","Pressure","Metallicity","Rad"]) center = [0., 0., 0.] pw = ProjectionPlot(ds, "x", ("gas", "Density"), weight_field="Density", center=center) pw.zoom(1.01) pw.save("allviewGas") pw = ProjectionPlot(ds, "y", ("gas", "Density"), weight_field="Density", center=center) pw.zoom(1.01) pw.save("allviewGas") pw = ProjectionPlot(ds, "z", ("gas", "Density") , weight_field="Density", center=center) pw.zoom(1.01) pw.save("allviewGas") pw = ProjectionPlot(ds, "x", "Temperature", weight_field="Density", center=center) pw.zoom(1.01) pw.save("allviewGas") pw = ProjectionPlot(ds, "y", "Temperature", weight_field="Density", center=center) pw.zoom(1.01) pw.save("allviewGas") pw = ProjectionPlot(ds, "z", "Temperature" , weight_field="Density", center=center) pw.zoom(1.01) pw.save("allviewGas") ==== Is there any way to reduce the memory usage when I make visualization? If I use slice instead of projection, can I save the memory? I saw there is parallelization for yt. Does parallelization distribute the data at the beginning of the read? (But, I prefer to do so w/o parallelization at this moment.) Thank you in advance, Junhwan