[graph-tool] Correlation Histogram
pmj27 at cam.ac.uk
Wed Feb 8 18:09:47 CET 2017
I am trying to obtain the correlation histogram for a graph of mine following
the example given in the manual. I run:
g = gt.load_graph('graph.gt')
My graph is relatively large at 12,238,931 vertices and 24,884,365 edges. My
problem is that as soon as I start the code it runs on 20 processes and
happily chomps through 252 GB of RAM before starting to spill over into the
swap making my machine incredibly slow.
I presume the RAM usage is linked to the parallel processing so presumably
could be tackled if I ran it using fewer processes. Is there any way of
reducing the RAM usage? Or would I need to implement the routine manually to
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