bigmemory is presumably the same thing as mmap_array.

--Tim

On Friday, August 14, 2015 01:03:10 AM Charles Novaes de Santana wrote:
> Dear all,
> 
> Thank you very much for your help and suggestions! I have learned a lot
> from you. Indeed, I want to use this matrix and  not only to read and store
> the data.
> 
> I should have written in my email that I was wondering if Julia had
> something similar to bigmemory and bigalgebra in R (
> https://sites.google.com/site/bigmemoryorg/home/bigalgebra). I know they
> make the allocation of huge amounts of data easier, but I didn't try to do
> it for my data yet (all my project is in Julia, so I want to try it until
> the infinite before using other languages).
> 
> As it seems to be a problem related to my computational resources, my first
> shot will be to try to run it in Julia in a cluster with more memory. If it
> doesn't work I will take some time to think in a different way to solve my
> problem (in worst case I will need to avoid this high-resolution dataset
> for now).
> 
> Thanks a lot!
> 
> Charles
> 
> On 14 August 2015 at 00:18, Marcio Sales <[email protected]> wrote:
> > Charles,
> > If your work ends with the matrix, then you could write a binary file on
> > dink, and make your loop calculate and hold a bunch of values each time
> > and
> > save it to the binary file on disk periodically, until all values are
> > saved. Try to make the loop hold as many values as possible, so you don't
> > need to save as frequently, to improve performance.
> > 
> > But If you then need to use this matrix for other operations, then you
> > have a problem... unless you buy enough memory, or you can somehow do the
> > operation in parts.
> > Marcio
> > 
> > 
> > Em quinta-feira, 13 de agosto de 2015 07:26:55 UTC-3, Charles Santana
> > 
> > escreveu:
> >> Hi all,
> >> 
> >> Do you recommend a way to work with bit matrices in Julia. By "big" I
> >> mean a 65600 x 65600 symmetric matrix (the upper triangular matrix is
> >> equal
> >> to the lower triangular one).
> >> 
> >> I am studying the distances between sites at different resolution maps.
> >> For low resolution we have few sites, and for big resolution we have more
> >> sites (S).
> >> 
> >> For few sites (small matrices) I was doing something like this:
> >> 
> >> S = 100;#number of sites
> >> M = zeros(S,S);
> >> for i in 1:(S-1)
> >> 
> >>    for j in (i+1):S
> >>    
> >>       M[i,j] = dist(i,j);#where dist(i,j) is the distance between sites i
> >> 
> >> and j
> >> 
> >>    end
> >> 
> >> end
> >> 
> >> However, for big matrices I get the following message:
> >> 
> >> S=65600;
> >> M = zeros(S,S);
> >> ERROR: OutOfMemoryError()
> >> 
> >>  in call at essentials.jl:201
> >>  in zeros at array.jl:233
> >> 
> >> I am using Julia Version 0.4.0-dev+5920 in Ubuntu 14.04.
> >> 
> >> Thanks for any tip!
> >> 
> >> Best,
> >> 
> >> Charles
> >> --
> >> Um axé! :)
> >> 
> >> --
> >> Charles Novaes de Santana, PhD
> >> http://www.imedea.uib-csic.es/~charles

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