[SciPy-User] ANN: PyViennaCL 1.0.3 -- very easy GPGPU linear algebra

[Toby St Clere Smithe]

Hello everybody,

I am pleased to announce the 1.0.3 release of PyViennaCL! This release
fixes a number of important bugs, and improves performance on nVidia
Kepler GPUs. The ChangeLog is below, and the associated ViennaCL version
is 1.5.2.


About PyViennaCL
================

*PyViennaCL* aims to make fast, powerful GPGPU and heterogeneous
scientific computing really transparently easy, especially for users
already using NumPy for representing matrices.

PyViennaCL does this by harnessing the `ViennaCL
<http://viennacl.sourceforge.net/>`_ linear algebra and numerical computation
library for GPGPU and heterogeneous systems, thereby making available to Python
programmers ViennaCL’s fast *OpenCL* and *CUDA* algorithms. PyViennaCL does
this in a way that is idiomatic and compatible with the Python community’s most
popular scientific packages, *NumPy* and *SciPy*.

PyViennaCL exposes the following functionality:

* sparse (compressed, co-ordinate, ELL, and hybrid) and dense
  (row-major and column-major) matrices, vectors and scalars on your
  compute device using OpenCL;
* standard arithmetic operations and mathematical functions;
* fast matrix products for sparse and dense matrices, and inner and
  outer products for vectors;
* direct solvers for dense triangular systems;
* iterative solvers for sparse and dense systems, using the BiCGStab,
  CG, and GMRES algorithms;
* iterative algorithms for eigenvalue estimation problems.

PyViennaCL has also been designed for straightforward use in the context
of NumPy and SciPy: PyViennaCL objects can be constructed using NumPy
arrays, and arithmetic operations and comparisons in PyViennaCL are
type-agnostic.

See the following link for documentation and example code:
http://viennacl.sourceforge.net/pyviennacl/doc/


Get PyViennaCL
==============

PyViennaCL is easily installed from PyPI.

If you are on Windows, there are binaries for Python versions 2.7, 3.2,
3.3, and 3.4.

If you are on Mac OS X and want to provide binaries, then please get in
touch! Otherwise, the installation process will build PyViennaCL from
source, which can take a while.

If you are on Debian or Ubuntu, binaries are available in Debian testing
and unstable, and Ubuntu utopic. Just run::

    apt-get install python-pyviennacl python3-pyviennacl

To install PyViennaCL from PyPI, make sure you've got a recent version
of the *pip* package manager, and run::

    pip install pyviennacl


Bugs and support
================

If you find a problem in PyViennaCL, then please report it at
https://github.com/viennacl/pyviennacl-dev/issues


ChangeLog
=========

2014-05-15  Toby St Clere Smithe  <pyviennacl at tsmithe.net>

	* Release 1.0.3.

	* Update external/viennacl-dev to version 1.5.2.
	  [91b7589a8fccc92927306e0ae3e061d85ac1ae93]

	  This contains two important fixes: one for a build failure on
	  Windows (PyViennaCL issue #17) relating to the re-enabling of the
	  Lanczos algorithm in 1.0.2, and one for an issue relating to
	  missing support for matrix transposition in the ViennaCL scheduler
	  (PyViennaCL issue #19, ViennaCL issue #73).

	  This release is also benefitial for performance on nVidia Kepler
	  GPUs, increasing the performance of matrix-matrix multiplications
	  to 600 GFLOPs in single precision on a GeForce GTX 680.

	* Fix bug when using integers in matrix and vector index key
	  [dbb1911fd788e66475f5717c1692be49d083a506]

	* Fix slicing of dense matrices (issue #18).
	  [9c745710ebc2a1066c7074b6c5de61b227017cc6]

	* Enable test for matrix transposition
	  [9e951103b883a3848aa2115df3edce73d347c09b]

	* Add non-square matrix-vector product test
	  [21dd29cd10ebe02a96ee23c20ee55401bc6c874f]

2014-05-06  Toby St Clere Smithe  <pyviennacl at tsmithe.net>

	* Release 1.0.2.

	* Re-enable Lanczos algorithm for eigenvalues (issue #11).
	[cbfb41fca3fb1f3db42fd7b3ccb8332b701d1e20]

	* Enable eigenvalue computations for compressed and coordinate
  	matrices.
	[8ecee3b200a92ae99b72653a823c1f60e62f75dd]

	* Fix matrix-vector product for non-square matrices (issue #13).
	[bf3aa2bf91339df72b6f7561afaf8b12aad57cda]

	* Link against rt on Linux (issue #12).
	[d5784b62b353ebbfd78fe1335fd96971b5089f53]




Best regards,

-- 
Toby St Clere Smithe
http://tsmithe.net