Is there any faster way (parfor related)?

3 Ansichten (letzte 30 Tage)
Eungyu Park
Eungyu Park am 12 Mai 2020
I want to reduce the computational time of following parfor loop. I think many MATLAB users who use techniques of MCMC, ES, or any Monte-Carlo have similar problems. Please share your thoughts. Many thanks!
A=[]; % cumulation matrix
parfor ii=1:100 % or more than 100
b=some_function(ii); % b is very tall, say it has dimension of 1000000X5 or taller
A=[A b]; % cumulation
end

Akzeptierte Antwort

Bjarke Skogstad Larsen
Bjarke Skogstad Larsen am 12 Mai 2020
You could speed this up by pre-allocating memory for A if you know the size of b:
A=nan(1000000,5,100); % cumulation matrix
parfor ii=1:100 % or more than 100
A(:,:,ii)=some_function(ii); % b is very tall, say it has dimension of 1000000X5 or taller
end

Weitere Antworten (0)

Kategorien

Mehr zu Parallel for-Loops (parfor) finden Sie in Help Center und File Exchange

Produkte


Version

R2020a

Community Treasure Hunt

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

Start Hunting!

Translated by