This thread pointed out that the plain vanilla library for linear algebra
outperformed
the fancy ones for the original poster -- and he had mentioned this, but still
got you
ought to advice that was inappropriate and ignored his stated experience.
I've been surprised sometimes myself with
On 2 Nov 2010, at 19:33, Prof. John C Nash wrote:
Ultimately we need good performance benchmarks. They are difficult to set up
properly and
tedious to run. Maybe a good subject for a Google Summer of Code project for
next year or
some undergraduate projects.
Seconded and thirded!
Stefan
On Sun, Oct 31, 2010 at 12:41:24PM -0400, Michael Spiegel wrote:
1) Compile the reference BLAS implementation with unsafe optimizations
and include it as a part of the OpenMx library.
If BLAS speed is important to you, why are you even trying to use the
slow reference BLAS library at all,
Hi Andrew,
In the majority of use cases of our package, we end up doing lots and
lots of matrix operations on small matrices, as opposed to matrix
operations on large matrices. The optimized BLAS libraries are
usually optimized for large matrices. The reference implementation is
faster than
Hi,
I saw on the mailing list and in the NEWS file that some unsafe math
transformations were disabled for the reference BLAS implementation
that is used in R. We have a set of performance tests for the OpenMx
library, and some of the tests have a x3-10 slowdown in R 2.12.0
versus 2.11.1. When
