ViennaCL is a free open-source linear algebra library for computations on many-core architectures (GPUs, MIC) and multi-core CPUs. The library is written in C++ and supports CUDA, OpenCL, and OpenMP (including switches at runtime).

The highlights of the latest 1.7.x release family are:

• Fast sparse matrix-matrix multiplications, outperforming CUBLAS and MKL.
• Fine-grained parallel algebraic multigrid preconditioners for CPUs, Xeon Phis, and GPUs.
• Fine-grained parallel incomplete LU factorization preconditioners for CPUs, Xeon Phis, and GPUs.

A Python wrapper named PyViennaCL is also available.