Why dont you just post your code here?
Dne čtvrtek 12. května 2016 15:53:35 UTC+2 Anonymous napsal(a): > > Yes the algorithm I'm testing this on is fairly polished at this point, > all variables are within a type and they all have strict type declarations. > The memory allocations are very low compared to the vectorized code, so > memory-wise the loops are doing their job, but this doesn't translate into > speed-ups. > > On Thursday, May 12, 2016 at 6:46:32 AM UTC-7, Steven G. Johnson wrote: >> >> >> >> On Thursday, May 12, 2016 at 8:51:44 AM UTC-4, Miguel Bazdresch wrote: >>> >>> honestly I've been testing out different devectorizations of my >>>> algorithms and I keep getting slower results, not faster, so either I >>>> really suck at writing for loops or Julia is doing a good job with my >>>> vectorized code. >>>> >>> >> Make sure your loops are in a function — don't benchmark in global scope >> (see the performance tips sections of the manual). Try running your >> function through @code_warntype myfunction(args...) and see if it warns >> marks any variables as type "ANY" (which indicates a type instability in >> your code, see the performance tips), >> >> Also, if you do "@time myfunc(args...)" and it indicates that you did a >> huge number of allocations, you could either have a type instability or be >> allocating new arrays in your inner loops (it is always better to allocate >> arrays once outside your inner loops and then update them in-place as >> needed). >> >
