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 issues very carefully, so it's definitely not just a case of nobody noticing that Julia is actually slower than Matlab. :) Most likely there are things you can do in your Julia code to speed it up (sometimes by orders of magnitude), though I'm sure there are specific cases where optimized Matlab code could beat out optimized Julia code, or at least where the performance is equivalent. It's also worth noting that often if you take Matlab code that's pretty well-written and port it directly to Julia you'll see worse performance, because the things you do in Julia to make your code fast are different than the things you do in Matlab to make your code fast. Again the performance tips linked above are super helpful. -s On Fri, Jun 12, 2015, at 04:26 AM, [email protected] wrote: > 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.
