On Jul 22, 11:18 pm, mabshoff <[EMAIL PROTECTED]> wrote:
> On Jul 22, 2:55 pm, Simon Beaumont <[EMAIL PROTECTED]> wrote:
>
> Hi Simon,
>
> > I decided to have a play with the pycuda-0.90.2 kit for which I needed
> > boost_1_35_0
>
> Mhh, is 1.35.0 mandatory? We might have to upgrade boost in PolyBoRi
> then.
>
From the pycuda docs this would appear to be the case:
"...You may already have a working copy of the Boost C++ libraries. If
so, make sure that it’s version 1.35.0 or newer..."
> Ok, please let us know what you find out.
I'll keep this topic posted.
> Yeah, even sgemm could be useful and it would be nice if you could get
> some numbers of sgemm on the CPU vs. the GPU. Once the IEEE conform
> hardware is out things will become a lot more interesting.
I'm digging out the custom kernel now - so I should get something very
soon.
(I did integrate the CUDA BLAS library sgemm into mathematica ealier
this year - so I have some numbers on that also of course mathematica
suffers badly from the mlink serialisation)
Cheers,
Simon
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