ViennaCL for Linux Publisher's description
Welcome to the project homepage of ViennaCL, a linear algebra library for computations on GPUs and multi-core CPUs.
Welcome to the project homepage of ViennaCL, a linear algebra library for computations on GPUs and multi-core CPUs. The library is written in C++ and based on OpenCL. In addition to core functionality, which is BLAS level 1-3 support and iterative solvers, ViennaCL 1.1.2 provides wrappers for convenient use with Eigen and MTL 4.
The Vienna Computing Library (ViennaCL) is a scientific computing library written in C++ and based on OpenCL. It allows simple, high-level access to the vast computing resources available on parallel architectures such as GPUs and is primarily focused on common linear algebra operations (BLAS levels 1, 2 and 3) and the solution of large systems of equations by means of iterative methods with optional preconditioner.
Uses OpenCL to support GPUs from NVIDIA and AMD
Support for multi-core CPU (requires AMD APP SDK or Intel OpenCL SDK)
ViennaCL can be used with user-provided OpenCL contexts
BLAS level 1, 2 and 3 implementations
LU decomposition without pivoting for dense matrices
Three iterative solvers: Conjugate Gradient (CG), Stabilized Bi-Conjugate Gradient (BiCGStab) and Generalized Minimum Residual (GMRES)
Optional Incomplete LU preconditioner with threshold (computed on CPU), Jacobi and row normalization preconditioner
Iterative solvers can also be used directly for uBLAS, Eigen and MTL4 objects
Convenient data transfer from and to STL, uBLAS, Eigen and MTL4 objects
MATLAB interface for iterative solvers (as separate download)
Convenient C++ wrappers for common linear algebra operations
Automated performance tuning environment available
Interface similar to Boost uBLAS
MIT (X11) open source license
System Requirements:No special requirements.
Program Release Status: Minor Update
Program Install Support: Install and Uninstall