On Mon, Sep 19, 2016 at 9:14 PM, Luke Stagner <lstagne...@gmail.com> wrote: > 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 (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.
I don't have time currently but I'll try to reproduce it in a few days. What's your versioninfo() and how did you install julia? > > -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? >>>>> >
