SInce you have to run the computation on various graphs, you can do some basic parallelism provided by the @paralleldecorator, see https://doc.sagemath.org/html/en/refe...
EDIT if tou use the @parallel decorator, you have to specify the number of cpus, e.g. @parallel(ncpus=8)
Thanks! I was trying to use Python's multiprocessing library before, I'll try using the decorator then.
I'm experimenting with the @parallel decorator but the spectrum() method doesn't seem to accept more than one input at a time.
vertex = 7
parameters = str(vertex) + " -c " + str(vertex) + ":" + str(vertex)
graphs_nauty = list(graphs.nauty_geng(parameters))@parallel
def laplacian_spectrum(graph):
return graph.spectrum(laplacian = True)
spectrum_all = laplacian_spectrum(graphs_nauty)
for i in spectrum_all:
print(i)
@parallel with the spectrum() method instead of using it on a function I defined myself?It isn't working for me at all. Which Sage version are you using?
Asked: 2021-06-30 18:41:11 +0200
Seen: 231 times
Last updated: Jun 30 '21
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