I actually ran into this issue too. I have a routine that calculates fast ion orbits that uses a lot of memory (90%). Here is the code <https://gist.github.com/lstagner/52cb5a2ec88b7b734035f013ca41e650> (sorry its not very clean). I tried to run the function `make_distribution_file` in a loop in julia but it never released the memory between calls. I tried inserting `gc()` manually but that didn't do anything either.
-Luke On Monday, September 19, 2016 at 3:08:52 PM UTC-7, K leo wrote: > > The only package used (at the global level) is DataFrames. Does that not > release memory? > > On Tuesday, September 20, 2016 at 6:05:58 AM UTC+8, K leo wrote: >> >> No. After myfunction() finished and I am at the REPL prompt, top shows >> Julia taking 49%. And after I did gc(), it shows Julia taking 48%. >> >> On Tuesday, September 20, 2016 at 4:05:56 AM UTC+8, Randy Zwitch wrote: >>> >>> Does the problem go away if you run gc()? >>> >>> >>> >>> On Monday, September 19, 2016 at 3:55:14 PM UTC-4, K leo wrote: >>>> >>>> Thanks for the suggestion about valgrind. >>>> >>>> Can someone please let me first understand the expected behaviour for >>>> memory usage. >>>> >>>> Let's say when I first starts Julia REPL it takes 5% of RAM (according >>>> to top). Then I include "myfile.jl" and run myfunction(). During the >>>> execution of myfunction(), memory allocation of Julia reaches 40% of RAM >>>> (again according to top). Say running myfunction() involves no allocation >>>> of global objects - all object used are local. Then when myfunction() >>>> finished and I am at the REPL prompt, should top show the memory usage of >>>> Julia drops down to the previous level (5% of RAM)? My current >>>> observation >>>> is that it doesn't. Is this the expected behaviour? >>>> >>>>
