Re: Matrix multiplication performance

Michael Lehn <[email protected]>
Newsgroups gmane.comp.lib.boost.ublas
Message-ID <[email protected]>
On 24 Jan 2016, at 16:17, Oswin Krause <[email protected]> wrote:

> Hi,
> 
> the obvious solution to this is to link to the c-cindings (cBLAS, LAPACKE). While BLAS is truly a PITA, most systems have quite sane cBLAS bindings (notable exception is OpenBLAS...) and often it is enough to check whether the system has some libcBLAS.so somewhere in the path.
> 
> the big issue of having a header only BLAS are the long, long, long compile times.

Two solutions to this:

- precompiled headers
- from a header only C++BLAS library it is trivial to create a compiled library for the common cases where all elements have the same type.
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