in that case, one usage might be that it's necessary for porting a
competitive BLAS into julia.

On Sat, Mar 14, 2015 at 1:26 PM Erik Schnetter <schnet...@gmail.com> wrote:

> 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 <tobias.kn...@googlemail.com>
> 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 <schnet...@gmail.com>
> http://www.perimeterinstitute.ca/personal/eschnetter/
>
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