Info

La pregunta está cerrada. Vuélvala a abrir para editarla o responderla.

Help: restructuring parfor

1 visualización (últimos 30 días)
Pramit Biswas
Pramit Biswas el 6 de Abr. de 2018
Cerrada: MATLAB Answer Bot el 20 de Ag. de 2021
totpV=5;
vars = rand(totpV,2);
for loop1=1:100
for loop2=1:totpV % Make this loop2 parallel using parfor
parameter=vars(loop2,:,loop1);
result(loop2,loop1)=feval('sum',parameter); % sample function
if min(result(loop2,:))<=result(loop2,loop1)
best=result(loop2,loop1);
end
vars(loop2,:,(loop1+1))= vars(loop2,:,loop1) + rand(1,2).*best;
end
end
I want to process loop2 parallelly, however, not getting how. From This page, probably this is due to Sliced Variables. Any idea to restructure?
Errors: The PARFOR loop cannot run due to the way variable 'vars', 'result' is used.
  1 comentario
Adam
Adam el 6 de Abr. de 2018
What are the warnings you get when you try?

Respuestas (1)

Bhavanithya Thiraviaraja
Bhavanithya Thiraviaraja el 17 de Abr. de 2018
Editada: Bhavanithya Thiraviaraja el 17 de Abr. de 2018

There seems to be a dependency between the iterations in the line

min(result(loop2,:))<=result(loop2,loop1)

In parfor, the iterations are performed on independent MATLAB workers and hence it requires 'No Dependency'. In this case, the min(result(loop2,:)) seems to use the previously calculated values also, hence making it dependent.

Refer https://de.mathworks.com/help/distcomp/ensure-that-parfor-loop-iterations-are-independent.html for examples!

The dependency has to be broken without affecting the algorithm to use parfor.

Etiquetas

Productos

Community Treasure Hunt

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

Start Hunting!

Translated by