ViennaCL 1.7.0 released!

The highlights of the 1.7.0 release are:

• Fine-grained parallel incomplete LU factorization preconditioners (based on recent paper by Chow and Patel)

• Fast sparse matrix-matrix multiplication (based on recent paper by Gremse et al.)

• 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

A full list of changes is available at http://viennacl.sourceforge.net/doc/changelog.html