Changing octave to exploit multi-core hardware

[Shai Ayal]

On Tue, Mar 25, 2008 at 3:02 PM, Jaroslav Hajek <highegg at gmail.com> wrote:
>
>  A number of vendor-tuned BLAS libraries are multithreaded, usually
>  along with key BLAS subroutines (triangular & QR factorizations etc).
>  LAPACK itself is not, AFAIK.
>  There is no problem using these MTed BLAS libs (ACML, Intel MKL, Goto
>  BLAS) with Octave to exploit multiple cores when working with large
>  matrices.

While there might be no problem using these libs, there is a problem
in redistributing them as none of them are GPL compatible, and some of
them have restrictions on some uses (e.g. Goto is non-free for
commercial use)

Shai