How can I increase the CPU utilization during the use of the function "matlabFunction"

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Hello,
I am working on a linked chain model using symbolic notation with MuPad. After I create the matrix of the model in MuPad, I reassigne it in the Matlab notebook with the function "getVar" then I create a function with "matlabFunction".
The matrix I calculate are quite big (more than 1Mo text) and it can take several hours to write them. When I look at the performance of the computer (I have a intel i7 with 2,6GHz and 8Go of RAM), I realize that matlab only use 25% of the CPU during the writing of the function. I there any way to increase this number during this precise function ?
Thank you in advance.
  3 Comments
Mathias Blandeau
Mathias Blandeau on 6 Nov 2015
Yes, I have a dual core with hyper-threading but when i look at the computer performance, the CPU utilization is not attributed to only one core. Still the CPU use by Matlab never goes over 25%
Walter Roberson
Walter Roberson on 7 Nov 2015
If you have hyper-threading turned on in your system, your process monitor might be reading the 2 cores as being 4 effective cores and calculating the CPU against that. The relevant code is simply not multi-threaded at this time, so you will not get more than a full CPU dedicated to the task.

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Answers (2)

Walter Roberson
Walter Roberson on 6 Nov 2015
  1 Comment
Mathias Blandeau
Mathias Blandeau on 6 Nov 2015
Thanks for the answer, it is very much quicker than with matlab, althought not optimized, I will try to combined it with generate::optimize as advised on the other topic
Now the programme working is mupkern and not matlab but it is still blocked at 25% of the CPU

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Mathias Blandeau
Mathias Blandeau on 23 Nov 2015
Hi, I think I figured out the origin of the problem. To my suprise, the over complexity of the result was du to the function linalg::scalarProduct (??). After I wrote the scalar product manually (u.v = u1*v1 + u2*v2+...) it worked very well, especially during the generation of the function. Thanks again !

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