Thank you for your answer! I'm implementing all the changes you suggested
(using SharedArrays, pre-inverting Sigma...) for the next version of my
programs, thank you very much for that.
To answer your question, I'm using Julia 3.6 and Images 0.4.33.
Archibald
On Thursday, 26 March 2015 11:35:2
Works for me. What versions of julia & Images are you running?
But wow is it slow. A comprehension in a single process is considerably
faster, presumably because of the use of vcat. I think you'll be far happier
if you either run single-threaded or preallocate a SharedArray for the output.
Your
Hi everyone,
I recently started using Julia for my projects and I'm currently quite
stuck by how to parallelize things.
I've got the two following functions:
@everywhere pixel(p) = [p.r, p.g, p.b];
which takes a RGB pixel (as defined in the Images module) and converts it
into a vector of its
