Hi,
I am currently investigating whether ViennaCL can be used as a possible
GPU backend for our linear Algebra as part of the Machine Learning
Library Shark. We started by using boost::ublas but then decided to
reimplement it in a better way(e.g. we dropped about 70% of ublas code,
redesigned
Hi Karl, Hi Sumit,
Thanks for the quick replies
>
> Unfortunately, C++ template metaprogramming is not very friendly to
> exchanging library interfaces at this point, free functions would
> be a lot easier.
I know, I have looked into the interfaces and figured that there might
be some rough edge
Hi,
> FYI: ViennaCL 2.x will provide all functionality via a shared C
> library in order to make cases such as the one you describe much
> easier. This means that there will be stable function names for all
> operations. An optional C++ layer will sit on top, rather than the
> other way round as
Hi!
Compiling the kernels for opencl takes time. try to measure the second
time you compute something.
On 2017-02-17 17:27, Sensei wrote:
> Hi!
>
> I am new to the OpenCL/GPU world, and I probably expected too much
> from it. I am computing the norm_1 of a vector, on the CPU and GPU,
> and I ha
Hi,
I would argue you have some serious problem with your setup if copying
of 1MB takes time in the order of minutes (and even if its milliseconds,
i would consider this as way too much). I am also concerned that your
new cpu timing is 0.
that resizing takes longer on a gpu is expected as you
