Dear ViennaCL users, ViennaCL 1.7.0 has just been released.
Due to a storage fault at Sourceforge [1], a download from the ViennaCL-Sourceforge page [2,3] is not yet possible. An alternative for the next few days is to download a release tarball from the developer repository on GitHub: https://github.com/viennacl/viennacl-dev/releases The highlights of the 1.7.0 release are: * Fine-grained parallel incomplete LU factorization preconditioners (based on recent paper by Chow and Patel [4]) * Fast sparse matrix-matrix multiplication (based on recent paper by Gremse et al. [5]) * Improved performance of sparse matrix-vector products * Fine-grained parallel algebraic multigrid preconditioners for CUDA, OpenCL, and OpenMP. * Conversion between vectors and matrices of different numeric type * Lanczos eigenvalue solver now optionally also returns eigenvectors. * Interface to/from the Armadillo library [4] A full list of changes is available here: http://viennacl.sourceforge.net/doc/changelog.html Updates to the benchmark section on the ViennaCL webpage in order to showcast the good performance will follow shortly. Best regards, Karl Rupp [1] https://sourceforge.net/blog/sourceforge-infrastructure-and-service-restoration-update-for-724/ [2] https://sourceforge.net/projects/viennacl/ [3] http://viennacl.sourceforge.net/ [4] http://epubs.siam.org/doi/abs/10.1137/140968896 [5] http://epubs.siam.org/doi/abs/10.1137/130948811 [6] http://arma.sourceforge.net/ ------------------------------------------------------------------------------ _______________________________________________ ViennaCL-devel mailing list ViennaCL-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/viennacl-devel
