Hey,
This seems like the good time to discuss something I was thinking about.
Since OpenCL/CUDA is our main focus, wouldn't it be a good idea to provide
the ability to link our routines against some CBLAS library? I think that
most people are ready to compile/install for example OpenBlas for when they
have no OpenCL/CUDA environment on their machine. I could add this to my
todo-list. I myself use OpenBlas a lot, OpenMP is not the main focus of
ViennaCL for now, and making it the main focus would be redundant with a
lot of libraries which do an awesome job at this already.
Philippe
2013/12/12 Karl Rupp <r...@iue.tuwien.ac.at>
> Hi Albert,
>
> > The standard CPU backend doesn't seem to use multiple CPUs (e.g. for
> > matrix multiplication).
>
> This depends on the operation. Some are OpenMP-enabled, others aren't
> yet. So far we needed to focus on OpenCL and CUDA, with the CPU/OpenMP
> backends being used mostly for fallback purposes. If you're limited by
> matrix-matrix multiplications, you might want to give the OpenCL backend
> on the CPU a shot.
>
>
> > Is this planned? In some cases, I see some OpenMP pragmas in the code,
> > but not everywhere, esp. not on matrix-matrix products, which is my
> > most used operation. Has that just not been tested yet or is there a
> > reason?
>
> It has not been thoroughly tested and optimized yet. Our observation was
> that many people use vendor-libraries for big dense matrix-matrix
> multiplications anyway, so we better focused on the many 'other' linear
> algebra operations and the API. Adding OpenMP-pragmas to the current
> matrix-matrix multiplication would be easy, but we better improve cache
> utilization through blocking first. If there is user demand, we are
> happy to assign higher priority to this :-)
>
> Best regards,
> Karli
>
>
>
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