Hey Karl,
Awesome !
Philippe
2013/12/23 Karl Rupp <r...@iue.tuwien.ac.at>
> Dear ViennaCL users,
>
> ViennaCL 1.5.0 is finally out and available for download at
> http://viennacl.sourceforge.net/
> It introduces a couple of new convenience routines, performance
> improvements, and higher code quality. Most important changes from the
> changelogs:
>
> - Vectors and matrices can be instantiated with integer template types
> (long, int, short, char).
>
> - Added support for element_prod() and element_div() for dense matrices.
>
> - Added element_pow() for vectors and matrices.
>
> - Added norm_frobenius() for computing the Frobenius norm of dense
> matrices.
>
> - Added unary element-wise operations for vectors and dense matrices:
> element_sin(), element_sqrt(), etc.
>
> - Multiple OpenCL contexts can now be used in a multi-threaded setting
> (one thread per context).
>
> - Multiple inner products with a common vector can now be computed
> efficiently via e.g.~inner_prod(x, tie(y, z));
>
> - Added support for prod(A, B), where A is a sparse matrix type and B
> is a dense matrix (thanks to Albert Zaharovits for providing parts of
> the implementation).
>
> - Added diag() function for extracting the diagonal of a vector to a
> matrix, or for generating a square matrix from a vector with the vector
> elements on a diagonal (similar to MATLAB).
>
> - Added row() and column() functions for extracting a certain row or
> column of a matrix to a vector.
>
> - Certain BLAS functionality in ViennaCL is now also available through
> a shared library (libviennacl).
>
> - API-change: User-provided OpenCL kernels extract their kernels
> automatically. A call to add_kernel() is now obsolete, hence the
> function was removed.
>
> - API-change: Device class has been extend and supports all
> informations defined in the OpenCL 1.1 standard through member
> functions. Duplicate compute_units() and max_work_group_size() have been
> removed (thanks for Shantanu Agarwal for the input).
>
> - API-change: viennacl::copy() from a ViennaCL object to an object of
> non-ViennaCL type no longer tries to resize the object accordingly. An
> assertion is thrown if the sizes are incorrect in order to provide a
> consistent behavior across many different types.
>
> - Datastructure change: Vectors and matrices are now padded with zeros
> by default, resulting in higher performance particularly for matrix
> operations. This padding needs to be taken into account when using
> fast_copy(), particularly for matrices.
>
> The full change logs can be found at
> http://viennacl.sourceforge.net/changelog.txt
>
> Thanks to all contributors :-)
>
> Best regards and best wishes for 2014,
> Karl Rupp
>
>
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