Hi Jérémy, Have you had the chance to read through the Julia performance tips yet?
http://docs.julialang.org/en/release-0.4/manual/performance-tips/ Cheers, Kevin On Tuesday, March 8, 2016, Jérémy Béjanin <jeremy.beja...@gmail.com> wrote: > Hello, > > By curiosity, I have translated a simple algorithm from python to julia in > order to compare their performance (gist here > <https://gist.github.com/jebej/307cba73c5c1025399d3>). I am still a > relative newcomer and so am not sure why I am seeing worse performance from > julia. > > The code was not optimized for python (or julia for that matters). > > The code generates a Hamiltonian for a 1D transverse field ising model, > and I am varying the number of sites which makes the size of the matrix > grow exponentially. Here are the timings I get: > > > <https://lh3.googleusercontent.com/-Zia04bwFUtM/Vt8829M6VtI/AAAAAAAAFao/MF3HuEhP5w8/s1600/tfimbench.png> > > As can be seen, Julia is faster for lower number of sites, but that > changes at N=13. Also interesting is the CPU and memory use during those > runs. It seems that Julia uses memory much more aggressively: > > > <https://lh3.googleusercontent.com/-JkKSGRcoeYY/Vt89OvZr-HI/AAAAAAAAFas/ZgiuJSnNo6Q/s1600/CPUandRAM.PNG> >
