On Wed, Sep 21, 2016 at 10:04 PM, Luke Stagner <lstagne...@gmail.com> wrote: > In trying to create a reduced test case I figured out the source of my > memory leak. It wasn't caused by Julia but by an external library I was
Good to know. > calling (Sundials.jl). Pulling the dev version of Sundials.jl fixed the > issue for me. And good to know it's fixed. > > K Leo, if you are using any external library, that may be the cause of the > memory leak you are seeing. > > -Luke > > On Wednesday, September 21, 2016 at 5:52:23 PM UTC-7, Yichao Yu wrote: >> >> On Wed, Sep 21, 2016 at 8:50 PM, Yichao Yu <yyc...@gmail.com> wrote: >> > On Mon, Sep 19, 2016 at 9:14 PM, Luke Stagner <lstag...@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? >> >>>>>> >> >>
