Hello.

I am starting using Julia. I like its sintax, simplicity and its claimed performances.

I have been using Matlab/Octave a lot at university and now at work we are using Octave for licence reason. However Octave is really slow and here I have read about Julia.

I have tried some simple matrix multiplication (A*B, not element wise one) but it is really slow.

Octave is faster and Python numpy too.

I am using Julia version 0.6.2 on Ubuntu notebook for the test but the same problem occurs in Windows 10.

Python code below takes 0.006 seconds:

```
import numpy
import cProfile
n = 1000;
x=numpy.random.random((n,n))
y=numpy.random.random((n,n))
cProfile.run("x*y")
```

Julia code takes 0.1 seconds.

```
n = 1000;
a = rand(n,n);
@time a*a;
```

I donâ€™t understand why is so slow.

Thank you