parallelization extremely slow on i7
1 view (last 30 days)
Show older comments
Good Morning/Afernoon/Evening depending where you are ;)
I am just checking out the parallelization features of ML (R2012b) and I don't really see any advantages so far, though I am only executing sample code to be honest.
I have 4 cores on an Intel Core i7 and I use 4 workers to run the simple magic-square sample code. A run takes approximately 40 seconds while simply looping it without parallel code takes about 0.24s .
Can someone briefly comment on the matlabpool features and traps, most likely I am just in a regime of work where parallelization is useless.
code 1
matlabpool(4)
spmd
q = magic(labindex + 2);
end
for ii=1:length(q)
figure, imagesc(q{ii});
end
matlabpool close
code 2
for i=1:1:4
q=magic(i+2);
figure, imagesc(q);
end
0 Comments
See Also
Categories
Find more on Parallel Computing Fundamentals in Help Center and File Exchange
Products
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!