Given the wording of your question, it seems highly likely that you are
user4905479 from StackOverflow (see
http://stackoverflow.com/questions/30728371/why-julia-is-not-faster-than-matlab).
As you were advised there, you will need to post your code if you want to
progress your understanding.
Without a specific example it's hard to say anything. Matlab can be faster
for some cases, but Julia should be faster in many cases, if you write your
code correctly.
Hello colleague,
you already gave the answer yourself:
*Because all the programs that i implement are faster in Matlab than in
Julia.*
you just need to write faster julia programs (OK, that's not very
helpful...).
Although there are fast and slow computers there isn't the equivalent of
fast
In particular, if all your code is basically:
C = A*B
U, S, V = svd(C)
result = V'*x
then it's also the case that Julia will not provide any kind of special
benefit---Matlab is just as good as Julia at linear algebra and a few other
operations, as both simply call out to other
There are a bunch of useful tips for making your Julia code faster here:
http://docs.julialang.org/en/release-0.3/manual/performance-tips/
There tends to be a lot of discussion on the list on relative
performance between Julia and other languages, and the core team keeps
track of performance
By far the most likely issue is that you're doing everything in global
scope. The next most likely problem is that you have some type
stability/predictability issues. And of course, it's always possible that
you have code that Matlab is really fast at; for some problems it's not
possible to do
