> I am aware of the methodology. However, is there any example / can you
> share some examples of interfacing an Eigen matrix with fast_copy ? As
> per the API, if we detect an Eigen Matrix then something specific for
> VCL & Eigen comes up.
Sumit, don't get me wrong, but this is basic C/C++. Jus
KarlI am aware of the methodology. However, is there any example / can you
share some examples of interfacing an Eigen matrix with fast_copy ? As per the
API, if we detect an Eigen Matrix then something specific for VCL & Eigen comes
up. Thanks and Regards
Sumit
From: Karl Rupp
To: Sumit
Hah ! I will need to learn Group Theory first !! (though it sounds interesting)
Thanks and Regards
Sumit
From: Karl Rupp
To: Sumit Kumar
Cc: "viennacl-devel@lists.sourceforge.net"
Sent: Wednesday, August 5, 2015 7:47 PM
Subject: Re: [ViennaCL-devel] ViennaCL reductions
> http:/
> http://arxiv.org/pdf/math/0307321v2.pdf
> Can this be implemented? I am not aware of Group theory :)
> Apparently, this has a complexity of O(n^2) !
Well, O(n^2) does not have any practical value without specifying the
constants. For example, 100*n^2 won't be faster than 2*n^3 for
any
On 08/04/2015 08:21 AM, Sumit Kumar wrote:
> Hi Karl
> Based on all your suggestions,
> I came up with this implementation:
>
>// Copy Sparse Eigen matrices to Dense viennacl matrices
>typedef Eigen::Matrix Eigen::RowMajor> RMMatrix;
>viennacl::matrix
> vcl_A(source->rows(),
Hi,
> I have a dense matrix (2048 x 2048) on the GPU and I want to copy it
> back to a host matrix on the CPU (2048 x 2048). Is there any example of
> using fast_copy() ? 2048 is a multiple of 128.
examples/benchmarks/dense_blas.cpp
http://viennacl.sourceforge.net/doc/namespaceviennacl.html#a92
Hi Sumit,
> Bah :) Looks like I am the first one to ask about this. Yeah, that would
> be helpful (at least int and long)
Charles opened up an issue for tracking purposes:
https://github.com/viennacl/viennacl-dev/issues/153
> The second one is moot. So, if CSR is not supported for Column-Major
