You can easily make an Array{Int32}. I'm not sure if that's your point or
not.On Sat, Jul 12, 2014 at 1:51 PM, J Luis <jmfl...@gmail.com> wrote: > yes, but those are scalars not (potentially big) arrays. > > Sábado, 12 de Julho de 2014 21:33:17 UTC+1, Stefan Karpinski escreveu: >> >> On 32-bit systems, Int is Int32. 64-bit systems tend to have enough >> memory, not to mention the fact that pointers, indices, etc. are natively >> 64-bit on those systems. >> >> >> On Sat, Jul 12, 2014 at 1:21 PM, J Luis <jmf...@gmail.com> wrote: >> >>> >>> >>> Sábado, 12 de Julho de 2014 21:16:04 UTC+1, John Myles White escreveu: >>> >>>> On Jul 12, 2014, at 1:04 PM, J Luis <jmf...@gmail.com> wrote: >>>> >>>> > That is also true but a much more rare case, typemax(Int32) is still >>>> a quite high number for an array size and before an Int64 is needed changes >>>> are non negligible that a memory requested failed because a big contigous >>>> chunk of memory was not available. Well, this is my Matlab experience, >>>> which I would like not have repeated in Julia. >>>> >>>> Have you hit a problem with this in Julia in practice or is it a mostly >>>> hypothetical concern? I’ve worked with arrays that contain billions of >>>> entries a bunch of times and haven’t had any problems on a machine with >>>> sufficient RAM to cope with that kind of workload. >>>> >>> >>> Regarding the Julia world is only, as you say, an hypothetical concern >>> ... but based on previous experience. The "sufficient RAM" is the keyword. >>> With 32 bits less RAM (e.g. as in laptops) may have been the "sufficient". >>> >>> Joaquim >>> >> >>
