The following code seems to consume a lot of memory. Could anyone spot what
I'm doing wrong here? I'm also using the JuMP library.
function initUtilityConstraint()
c = categories[1]
me = attack_methods[1]
t = teams[1]
tuple = Simulate.cmt(c, me, t)
w = windows[1]
r = resou
What have you tried so far? See http://docs.julialang.org/en/latest/manual/
performance-tips/#tools, esp. @code_warntype.
--Tim
On Wednesday, August 24, 2016 1:55:23 PM CDT Venil Noronha wrote:
> The following code seems to consume a lot of memory. Could anyone spot what
> I'm doing wrong here? I
I've just been able to @time the loop so far to see allocations at
iteration level. I haven't yet tried @code_warntype; I'll probably do that
next and see if I can get somewhere.
Thanks,
Venil
On Wednesday, August 24, 2016 at 5:37:17 PM UTC-7, Tim Holy wrote:
>
> What have you tried so far? See
I've also tried to @profile, however, julia libraries seem to be executed
the most.
Venil
On Wednesday, August 24, 2016 at 11:16:53 PM UTC-7, Venil Noronha wrote:
>
> I've just been able to @time the loop so far to see allocations at
> iteration level. I haven't yet tried @code_warntype; I'll p
I don't have any suggestions about the performance, but I do have a code
correctness suggestion. It appears from your code snippet that you are
using dictionaries called "effectiveness" and "resource_fines", and that
the keys to these dictionaries are a mutable type. This can lead to subtle
p
Thanks Steve!
The problem was finally found to be with some matrix operations. We've used
an alternate approach and it seems to be fixed now.
Venil
On Thursday, August 25, 2016 at 6:41:25 PM UTC-7, vav...@uwaterloo.ca wrote:
>
> I don't have any suggestions about the performance, but I do have
