The Vienna Computing Library (ViennaCL) is a scientific computing library written in C++. It provides simple, high-level access to the vast computing resources available on parallel architectures such as GPUs and multi-core CPUs by using either a host based computing backend, an OpenCL computing backend, or CUDA. The primary focus is on common linear algebra operations (BLAS levels 1, 2 and 3) and the solution of large sparse systems of equations by means of iterative methods. The following iterative solvers are currently implemented (confer for example to the book of Y.~Saad [26] ):

Conjugate Gradient (CG)
Stabilized BiConjugate Gradient (BiCGStab)
Generalized Minimum Residual (GMRES)

A number of preconditioners is also provided in order to improve convergence of these solvers, see chapter on algorithms.

The solvers and some preconditioners can also be used with different libraries due to their generic implementation. Currently it is possible to use the solvers and some preconditioners directly with types from the uBLAS library, which is part of Boost [6] . The iterative solvers can directly be used with Armadillo [1], Eigen [11], and MTL 4 [22].

Under the hood, ViennaCL uses a unified layer to access CUDA [23], OpenCL [18], and/or OpenMP [25] for accessing and executing code on compute devices. Therefore, ViennaCL is not tailored to products from a particular vendor and can be used on many different platforms. At present, ViennaCL is known to work on all current CPUs and modern GPUs from NVIDIA and AMD (see table below), CPUs using either the AMD Accelerated Parallel Processing (APP) SDK (formerly ATI Stream SDK) or the Intel OpenCL SDK, and Intels MIC platform (Xeon Phi). Double precision arithmetic on GPUs is only possible if provided in hardware by the respective device. There is no double precision emulation in software in ViennaCL.

NVIDIA GPUs			AMD GPUs
Compute Device	float	double	Compute Device	float	double
GeForce 86XX GT/GSO	ok	-	Radeon HD 4XXX	ok	-
GeForce 88XX GTX/GTS	ok	-	Radeon HD 48XX	ok	ok
GeForce 96XX GT/GSO	ok	-	Radeon HD 5XXX	ok	-
GeForce 98XX GTX/GTS	ok	-	Radeon HD 58XX	ok	ok
GeForce GT 230	ok	-	Radeon HD 59XX	ok	ok
GeForce GT(S) 240	ok	-	Radeon HD 6XXX	ok	-
GeForce GTS 250	ok	-	Radeon HD 69XX	ok	ok
GeForce GTX 260	ok	ok	Radeon HD 7XXX	ok	-
GeForce GTX 275	ok	ok	Radeon HD 77XX	ok	ok
GeForce GTX 280	ok	ok	Radeon HD 78XX	ok	ok
GeForce GTX 285	ok	ok	Radeon HD 79XX	ok	ok
GeForce GTX 4XX	ok	ok	Radeon HD 8350	ok	-
GeForce GTX 5XX	ok	ok	Radeon HD 84XX	ok	-
GeForce GTX 6XX	ok	ok	Radeon HD 8XXX	ok	ok
GeForce GTX 7XX	ok	ok	Radeon R5 2XX	ok	-
GeForce GTX 9XX	ok	ok	Radeon R7 2XX	ok	ok
Quadro FX 46XX	ok	-	Radeon R9 2XX	ok	ok
Quadro FX 48XX	ok	ok	Radeon RX 3XX	ok	ok
Quadro FX 56XX	ok	-	FirePro V7XXX	ok	ok
Quadro FX 58XX	ok	ok	FirePro V8XXX	ok	ok
Tesla C10XX	ok	ok	FirePro V9XXX	ok	ok
Tesla C20XX	ok	ok	FirePro WXXXX	ok	ok
Tesla K20	ok	ok

Available arithmetics in ViennaCL provided by selected GPUs. Letter 'X' is used as a placeholder in numbers to denote multiple GPUs from the same series. Make sure you use recent GPU drivers, as there are some known bugs affecting ViennaCL in older drivers.

For additional details of a look at the Wikipedia list of NVIDIA GPUs and the Wikipedia list of AMD GPUs.