Matlab parallel for loop or Matlab open pool -

Matlab parallel for loop or Matlab open pool -

January 15, 2014

I am trying to do some computations and I would like to use it in parforl or by opening matlabpool .. current implementation Too slow:

  result = zero (25,16000); For I = 1: Length (vector 1)% length is for Jammu = 1: Length (vector 2)% Length 16000 temp1 = vector1 (i); Temp2 = Vector 2 (J); Load image% 1 from T1 = load (matfiles1 (temp1) .name)% matfile1t2 = load (matfiles2 (temp2) .name) matfile2 result (i, j) = t1. * T2 end end  load the image% 2   Its okay but I really want to know that there is no way to speed up something ... thanks a long time ago!   
 
  using a  on  loop and opening  matlabpool  Come together. Provides your MATLAB session with dedicated workers who open  Metallibol  with which it can run your  on  loop body. So, you can change your code in something like this:  
  matlabpool local 4% or so many core is for you parfor i = ... ... end    Before running your code in parallel, I would definitely recommend to ensure that you understand that time is spent on running your code. (I wonder if there is no effect in the external loop in  t1  in  load  - the profiler should be shown that  load  calls your Compared with the rest of the algorithm, it takes less time.)   

 


  

















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