Drexel dragonThe Math ForumDonate to the Math Forum



Search All of the Math Forum:

Views expressed in these public forums are not endorsed by Drexel University or The Math Forum.


Math Forum » Discussions » Software » comp.soft-sys.matlab

Topic: time consuming problem and MKL and other solutions to speed up
Replies: 3   Last Post: Apr 21, 2013 10:00 AM

Advanced Search

Back to Topic List Back to Topic List Jump to Tree View Jump to Tree View   Messages: [ Previous | Next ]
ghasem

Posts: 98
Registered: 4/13/13
time consuming problem and MKL and other solutions to speed up
Posted: Apr 21, 2013 4:57 AM
  Click to see the message monospaced in plain text Plain Text   Click to reply to this topic Reply

hi.
I have to simulate a 3d domain within a time-loop with n=10000 step with matlab.
but my problem is that Matlab is time consuming in this case.
I used from best possible commands in matlab.for example,I replaced nested for-loops as following:
X(1:nx,2:ny,2:nz) = coeff1(1:nx,2:ny,2:nz).* (Y(1:nx,2:ny,2:nz) - Y(1:nx,1:ny-1,2:nz)) ...

But my simulation is very time consuming,yet.
for example in a 3d domain with 100*100*100 point,my program need 500 minutes for running!
in my program I use from "mldivide" command and sparse arrays for 3d,that are fastest methods.
I want to use from "intel Math Kernel Library (MKL),that is good for speed up.
but,I don't know how use from it in matlab.
is there anyone who direct me?(best and fastest method for long simulations with matlab)
thank you
ghasem...



Point your RSS reader here for a feed of the latest messages in this topic.

[Privacy Policy] [Terms of Use]

© Drexel University 1994-2014. All Rights Reserved.
The Math Forum is a research and educational enterprise of the Drexel University School of Education.