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memory leak #58
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Very insightful. You are a supercluster of biome code. Best, Sent from a mobile device On Aug 16, 2016, at 5:00 PM, Will Van Treuren notifications@github.com I think the issue has something to do with mapping different sink samples The obscured black line is runtime vs memory consumption for a single sink, Obviously not conclusive, but you can see the memory jump in steps for red. — |
My hunches were all wrong. After using |
There is a memory leak that has become apparent in long-running simulations. The memory usage of python when running
_gibbs
steadily increases despite there being no clear reason for doing so (the memory is preallocated for results storage ingibbs_sampler
).I believe the error has to do with one of the following:
numpy array
copies that occur and are not garbage collected link1, link2.pandas dataframes
not being correctly garbage collected (might be the same bug as 1) link1, link2, link3.ipyparallel
is running link1.Based on the threads I have read (those linked above) I am guessing that either a bunch of array copies are occurring that are not getting collected, or there is some interaction between the cluster and multiple sinks.
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