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. In addition to core functionality and many other features including BLAS level 1-3 support and iterative solvers, the latest release family ViennaCL 1.6.x provides fast pipelined iterative solvers including fast sparse matrix-vector products based on CSR-adaptive, a new fully HTML-based documentation, and a new sparse matrix type. Also, a Python wrapper named PyViennaCL is now available.
- March 14-15, 2015: Poster on ViennaCL at the SIAM Conference on Computational Science (CSE15) in Salt Lake City, Utah,USA.