Re: benchmark octave with atlas and vecLib

[David Bateman]

It's not a problem with ATLAS... See liboctave/Changelog

2003-02-18  David Bateman <address@hidden>

        * dMatrix.cc (Matrix::inverse, Matrix::determinant, Matrix::solve):
        Use Lapack instead of Linpack.
        * Cmatrix.cc (ComplexMatrix::inverse, ComplexMatrix::determinant,
        ComplexMatrix::solve): Likewise.

        * dMatrix.cc (Matrix::determinant, Matrix::inverse): New arg,
        calc_cond.  If 0, skip condition number calculation.
        * CMatrix.cc (ComplexMatrix::determinant, ComplexMatrix::inverse):
        Likewise.

        * CmplxLU.cc (ComplexLU::ComplexLU): Allow non-square matrices.
        * dbleLU.cc (LU::LU): Likewise.
        * base-lu.cc (base_lu::L), base_lu::U, base_lu::P): Likewise.

Basically 2.1.36 uses LINPACK for many of its matrix operations and so 
doesn't have any advantage of using ATLAS. I removed all LINPACK functions
earlier this year, and thus the speed up you are seeing in the specific
functions you observed. "chol" was using ATLAS in 2.1.36, but was one of 
the only functions that was.

As for random, I don't think you have octave-forge install, where the faster
"rand" and "randn"

> Sorting of 2,000,000 random values__________________ (sec): 8.45625 

versus

> Sorting of 2,000,000 random values__________________ (sec): 9.244 

Try installing octave-forge and rerunning your tests.

Regards
D.

-- 
David Bateman                                address@hidden
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