I have installed julia 0.3 from
http://copr.fedoraproject.org/coprs/nalimilan/julia/
on my i7 Haswell 2.4 GHz laptop with updated Fedora 20.
Then I translated the first two parts of the Matlab bench script to julia:
# Transscript of the Matlab bench,
# only LU and FFT
# Transscript of the Matlab bench,
# only LU and FFT
print("LU decomposition, ");
tic();
A = rand(1600, 1600);
lu(A);
toc();
print("FFT , ");
n = 2^21;
tic();
x = rand(1,n);
fft(x);
fft(x);
toc();
The comparison is relatively disastrous for julia:
julia> include("code/julia/bench.jl")
LU decomposition, elapsed time: 0.936670955 seconds
FFT , elapsed time: 0.208915093 seconds
(best out of 10 tries)
Matlab r2014a
LU decomposition: 0.0477 seconds
FFT: 0.0682 seconds
LU is 24 times slower on julia, FFT is 3 times slower. According to
system-monitor Matlab bench causes 3 cores to be busy, julia only 1. This
could explain the FFT result, but not the LU.
