As long as linear algebra is handled by BLAS, using multi-threading in Julia isn't really necessary. If the matrices are large enough to warrant multithreading, then using a multi-threaded BLAS is usually more efficient...
-erik On Mar 13, 2015, at 16:54 , Tobias Knopp <[email protected]> wrote: > > you can start with a simple matrix-vector or matrix-matrix product. imfilter > (Images.jl) is also a function that can benefit from multithreading. > > Am Freitag, 13. März 2015 04:52:37 UTC+1 schrieb Viral Shah: > I am looking to put together a set of use cases for our multi-threading > capabilities - mainly to push forward as well as a showcase. I am thinking of > starting with stuff in the microbenchmarks and the shootout implementations > that are already in test/perf. > > I am looking for other ideas that would be of interest. If there is real > interest, we can collect all of these in a repo in JuliaParallel. -- Erik Schnetter <[email protected]> http://www.perimeterinstitute.ca/personal/eschnetter/ My email is as private as my paper mail. I therefore support encrypting and signing email messages. Get my PGP key from https://sks-keyservers.net.
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