[julia-users] simpler int32 literal

I can easily type floating point literals of wanted precision: julia> typeof(3.14f0) Float32 julia> typeof(3.14) Float64 julia> typeof(3.14e0) Float64 But i have to resort to converter method, in order to avoid being platform-dependent. julia> typeof(42) # platform-dependent Int64 julia>

[julia-users] Is HPTCDL workshop happening this year?

I'm wondering if HPTCDL(High Performance Technical Computing in Dynamic Languages) workshop is being planned this year. I could only find the proceedings of the first workshop (2014), and only a call for papers for the 2015 workshop. Does anyone know the details of the HPTCDL workshop in 2015

Re: [julia-users] memory allocation in matrix operations

Hi Steven and Daniel, thank you so much for the corrections and suggestions! > On Sep 2, 2016, at 9:17 AM, Steven G. Johnson wrote: > > Try: > > function foo_old!(a) > for i in 1:size(a, 2) > a[:, i] /= norm(a[:, i]) > end > return a > end > >

[julia-users] memory allocation in matrix operations

Hi, I'm using Julia 0.4.6 on OSX El Capitan, and was trying to normalize each column of matrix, so that the norm of each column becomes 1. Below is a isolated and simplified version of what I'm doing: function foo1() local a = rand(1000, 1) @time for i in 1:size(a, 2) a[:,

Re: [julia-users] memory allocation in matrix operations

AM, Yichao Yu <yyc1...@gmail.com> wrote: > > > > On Fri, Sep 2, 2016 at 7:03 AM, Jong Wook Kim <ilike...@gmail.com > <mailto:ilike...@gmail.com>> wrote: > Hi, > > I'm using Julia 0.4.6 on OSX El Capitan, and was trying to normalize each > column of m

Re: [julia-users] memory allocation in matrix operations

allocations: 160 bytes) 42 Is @time counting the stack allocations as well? Otherwise I don’t see why any heap allocation is needed. > On Sep 2, 2016, at 7:41 AM, Mauro <mauro...@runbox.com> wrote: > > On Fri, 2016-09-02 at 13:34, Jong Wook Kim <jongw...@nyu.edu> wrot