The easy way to get much of this benefit is to simply use multi-threaded versions of Atlas via jblas. Probably not viable given the no dependency posture of commons math.
On Sat, Jul 21, 2012 at 6:17 AM, Gilles Sadowski < gil...@harfang.homelinux.org> wrote: > Hi. > > My previous post (with subject "Synchronisation") made me think (again) > that > it might be useful to start considering how to take advantage of > multi-threading in Commons Math. > Indeed, it seems that some parts of the library might end up not being used > anymore because their performance simply cannot match competing > implementations that do benefit form parallelization. [The recent example > that comes to mind is the FFT.] > > > Best regards, > Gilles > > --------------------------------------------------------------------- > To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org > For additional commands, e-mail: dev-h...@commons.apache.org > >
