Hi everyone,
I'm working on a reasonably large piece of Python software which uses
PyCUDA for the performance-critical section of the code. I've been
experiencing a memory leak, and while trying to track it down I've
noticed that PyCUDA has a large virtual memory footprint -- somewhere in
the ballpark of 36GB even when no arrays have yet been allocated. Is
this typical for PyCUDA, or is there perhaps something wrong with my
setup?
Thanks,
'
Brendan Wood
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