Building an array using parfor

2 vues (au cours des 30 derniers jours)
Moiz
Moiz le 24 Jan 2016
Commenté : Walter Roberson le 25 Jan 2016
Hi,
I am building an array using parfor in the following fashion :
parfor ifreq = 1:80
for iSig = 1:140
[SigVal,~] = somefunction(NecessaryInputs)
AllSig(ifreq,iSig,:) = SigVal;
end
end
However this is throwing an error that the variable AllSig cannot be classified. Any ideas how to get this to work ?

Réponses (2)

Edric Ellis
Edric Ellis le 25 Jan 2016
What version of MATLAB are you using? I tried this in R2015b, and it worked as expected:
parfor ifreq = 1:80
for iSig = 1:140
SigVal = rand(3,1);
AllSig(ifreq,iSig,:) = SigVal;
end
end
  1 commentaire
Moiz
Moiz le 25 Jan 2016
I am using R2014b

Connectez-vous pour commenter.


Walter Roberson
Walter Roberson le 25 Jan 2016
parfor ifreq = 1:80
SigVal = zeros(140, 3); %for example
for iSig = 1:140
[SigVal(iSig, :),~] = somefunction(NecessaryInputs)
end
AllSig(ifreq,:,:) = SigVal;
end
  2 commentaires
Moiz
Moiz le 25 Jan 2016
Hi Walter,
This works except that I found parfor to take a huge amount of time (more than the regular for loop). So I am not sure what was going on..
Walter Roberson
Walter Roberson le 25 Jan 2016
parfor is not necessarily faster, due to the various overheads involved. Also because the workers are restricted to one CPU each whereas non-parallel array computations that are "big enough" get sent to BLAS or LAPACK which operates on all CPUs on the host. Therefore any one computation can take several times longer in parallel.

Connectez-vous pour commenter.

Catégories

En savoir plus sur Parallel for-Loops (parfor) dans Help Center et File Exchange

Tags

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by