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author | Alex Korbonits <alexkorbonits@gmail.com> | 2021-06-28 13:48:09 -0700 |
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committer | GitHub <noreply@github.com> | 2021-06-28 16:48:09 -0400 |
commit | 232decb41a1bda1c70d37dbb1f3541dcca104ab6 (patch) | |
tree | ea2598c3efa598a2f592e3c8f9ef4caa97ea1b58 | |
parent | 3146c56f0fe942f71784d5ee03aa65aec845859e (diff) | |
download | networkx-232decb41a1bda1c70d37dbb1f3541dcca104ab6.tar.gz |
Fixes #4275 - Add comment to parallel betweenness example (#4926)
* Add comment about single core CI/CD showing slower parallel output in example script.
* less specific estimate of speedup
Co-authored-by: Dan Schult <dschult@colgate.edu>
-rw-r--r-- | examples/algorithms/plot_parallel_betweenness.py | 6 |
1 files changed, 5 insertions, 1 deletions
diff --git a/examples/algorithms/plot_parallel_betweenness.py b/examples/algorithms/plot_parallel_betweenness.py index 7a27abaa..aa88652b 100644 --- a/examples/algorithms/plot_parallel_betweenness.py +++ b/examples/algorithms/plot_parallel_betweenness.py @@ -10,8 +10,12 @@ The function betweenness centrality accepts a bunch of nodes and computes the contribution of those nodes to the betweenness centrality of the whole network. Here we divide the network in chunks of nodes and we compute their contribution to the betweenness centrality of the whole network. -""" +Note: The example output below shows that the non-parallel implementation is +faster. This is a limitation of our CI/CD pipeline running on a single core. + +Depending on your setup, you will likely observe a speedup. +""" from multiprocessing import Pool import time import itertools |