My surprising experience in trying out REvolution's R
That's our guess too. We're running some tests now on the code to see what's going on, and it's entirely possible the performance gains are a function of the problem size, so we're testing that too. Changes in R between 2.7.2 (upon which REvolution R is currently based) and 2.9.0 are also a confounding factor. (I'm assuming the timings reported were on 2.9, not 1.9 as stated.) I'll report back here when I have more details. # David Smith
On Tue, Apr 21, 2009 at 10:32 AM, Bert Gunter <gunter.berton at gene.com> wrote:
A guess: Depends on the problem, the hardware, the matrix libraries,... e.g. in relatively small problems, Revolution's overhead may consume more time and resources than the problem warrants. In others, you may see many fold improvements. Very dangerous to generalize from an example or two (as I recently experienced to my own chagrin).
-- David M Smith <david at revolution-computing.com> Director of Community, REvolution Computing www.revolution-computing.com Tel: +1 (206) 577-4778 x3203 (San Francisco, USA) Check out our upcoming events schedule at www.revolution-computing.com/events