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 <jmfl...@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 >
