On Wed, Sep 21, 2016 at 8:50 PM, Yichao Yu <yyc1...@gmail.com> wrote: > 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?
In the mean time, I would also appreciate if you can reduce it a little, especially if you can remove some of the external dependencies. > >> >> -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? >>>>>> >>