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 <pyvienn...@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 <pyvienn...@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 ------------------------------------------------------------------------------ "Accelerate Dev Cycles with Automated Cross-Browser Testing - For FREE Instantly run your Selenium tests across 300+ browser/OS combos. Get unparalleled scalability from the best Selenium testing platform available Simple to use. Nothing to install. Get started now for free." http://p.sf.net/sfu/SauceLabs _______________________________________________ ViennaCL-devel mailing list ViennaCL-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/viennacl-devel
