Boost logo

Ublas :

Subject: Re: [ublas] Matrix multiplication performance
From: Nasos Iliopoulos (nasos_i_at_[hidden])
Date: 2016-01-27 11:15:29

On 01/27/2016 10:52 AM, Michael Lehn wrote:
>> 5. ublas is one of the fastest libraries for small matrices. Because I think the most prevalent use of dense multiplication is on small matrices ( geometric transformations etc.) we need to make sure this stays that way.
> Depends on the domain of usage. In my domain dense matrix multiplication is the key to both, fast dense linear algebra (LAPACK etc.) and
> sparse direct or iterative solvers. But sure, we should have both.
> I will finish a prototype of BLAS Level 3 the next days but that might require some help on uBLAS. In particular I want to write a BLAS F77 and
> CBLAS interface so that one can build a BLAS library that can be linked against LAPACK. Because that’s the message: First BLAS was written
> in Fortran, then in C and they provided a Fortran interface. Today one writes a BLAS implementation in C++ and provides a C and Fortran interface.
I agree with that. We may want to provide a C and fortran interface
> _______________________________________________
> ublas mailing list
> ublas_at_[hidden]
> Sent to: nasos_i_at_[hidden]