gc() doesn't clear memory from compiled functions---the overhead of 
compilation is so high that any function, once compiled, hangs around forever.

The solution is to avoid creating so many compiled functions. Can you use 
anonymous functions?

--Tim

On Monday, April 27, 2015 10:22:20 AM 'Antoine Messager' via julia-users 
wrote:
> And then (approximatively):
> 
> *  myfunction = eval(code_f)*
> 
> Le lundi 27 avril 2015 18:21:09 UTC+1, Antoine Messager a écrit :
> > I use meta programming to create my function. This is a simpler example.
> > The parameters are generated randomly in the actual function.
> > 
> > *  lhs = {"ode1"=> :(fy[1]), "ode2"=> :(fy[2])};*
> > *  rhs = {"ode1"=> :(y[1]*y[1]-2.0), "ode2"=> :(y[2]-y[1]*y[1])};*
> > 
> > *  function code_f(lhs::Dict, rhs::Dict)*
> > *      lines = {}*
> > *      for key in keys(lhs)*
> > *          push!(lines, :( $(lhs[key]) = $(rhs[key])) )*
> > *      end*
> > *      @gensym f*
> > *      quote*
> > *          function $f(y, fy)*
> > *              $(lines...)*
> > *          end*
> > *      end*
> > *  end*
> > 
> > Le lundi 27 avril 2015 18:12:24 UTC+1, Tom Breloff a écrit :
> >> Can you give us the definition of make_function as well?  This is being
> >> run in global scope?
> >> 
> >> On Monday, April 27, 2015 at 12:37:48 PM UTC-4, Antoine Messager wrote:
> >>> When I input the following code, where myfunction is only a system of 2
> >>> equations with 2 unknowns, the code starts to be really slow after
> >>> 10,000
> >>> iterations. NLsolve is a non linear solver (
> >>> https://github.com/EconForge/NLsolve.jl).
> >>> 
> >>> *  size=2*
> >>> *  for k in 1:100000*
> >>> *      myfun=make_function(size);*
> >>> *      try{*
> >>> *              res=nlsolve(myfun,rand(size))*
> >>> *          }*
> >>> *      end*
> >>> *  end*
> >>> 
> >>> Thank you for your help,
> >>> Antoine
> >>> 
> >>> Le lundi 27 avril 2015 16:30:19 UTC+1, Mauro a écrit :
> >>>> It is a bit hard to tell what is going wrong with essentially no
> >>>> information.  Does the memory usage of Julia go up more than you would
> >>>> expect from storing the results?  Any difference between 0.3 and 0.4?
> >>>> Anyway, you should try and make a small self-contained runable example
> >>>> and post it otherwise it will be hard to divine an answer.
> >>>> 
> >>>> On Mon, 2015-04-27 at 16:49, 'Antoine Messager' via julia-users <
> >>>> 
> >>>> [email protected]> wrote:
> >>>> > Dear all,
> >>>> > 
> >>>> > I need to create a lot of systems of equation, find some
> >>>> 
> >>>> characteristics of
> >>>> 
> >>>> > each system and store the system if of interest. Each system is
> >>>> 
> >>>> created
> >>>> 
> >>>> > under the same name. It works fine for the first 1000 systems but
> >>>> 
> >>>> after the
> >>>> 
> >>>> > program starts to be too slow. I have tried to use the garbage
> >>>> 
> >>>> collector
> >>>> 
> >>>> > each time I create a new system but it did not speed up the code. I
> >>>> 
> >>>> don't
> >>>> 
> >>>> > know what to do, I don't understand where it could come from.
> >>>> > 
> >>>> > Cheers,
> >>>> > Antoine

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