Batch sounds slower than interactive parallel jobs
1 view (last 30 days)
Show older comments
Hi !
I use Matlab 7.10.0 and Parallel Toolbox on a 8 cores blade.
Issuing that command :
tic;job=batch('birthdayscript','matlabpool',4);wait(job);ovrHead=toc;
I obtain ovrHead = 10.42 seconds
Issuing that command :
matlabpool open 4;tic;p = prunbirthday(2e4, 30), ovrHead=toc;matlabpool close
I obtain ovrHead = 1.39 seconds
May I ask you why batch method is so ineffective ?
Sylvain
PS : here the code of birthdayscript :
numtrials = 2e4;
groupsize = 30;
% Preallocate some memory for the matches
matches = zeros(1, numtrials);
parfor trial = 1:numtrials
% Run a simulation for a group
matches(trial) = birthday(groupsize);
end
% Probability is the sum of matches divided by number of trials
prob = sum(matches)/numtrials;
0 Comments
Accepted Answer
Sean de Wolski
on 9 Jul 2013
Edited: Sean de Wolski
on 9 Jul 2013
batch is opening its own MATLAB pool of four workers so this is included in the timing of the first snippet and not the second.
2 Comments
More Answers (1)
See Also
Categories
Find more on Parallel Computing Fundamentals in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!