Access the massively parallel power of a GPU without having to write the GPU code yourself. Libraries provide highly-optimized algorithms and functions you can incorporate into your new or existing applications. Many of the GPU-accelerated libraries are designed to very easily replace existing CPU libraries, minimizing the impacts on existing code.
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The CUDA Toolkit is a free download from NVIDIA and is supported on Windows, Mac, and most standard Linux distributions. Contained within this toolkit are the following libraries:
CUBLAS – an implementation of BLAS (Basic Linear Algebra Subprograms).
CUFFT – a Fast Fourier Transform library with support for the FFTW API.
CURAND – provides facilities that focus on the simple and efficient generation of high-quality pseudorandom and quasirandom numbers.
CUSPARSE – contains a set of basic linear algebra subroutines used for handling sparse matrices.
NPP – focuses on imaging and video processing and is widely applicable for developers in these areas.
In addition to the libraries provided by NVIDIA, there are a large number of other GPU accelerated libraries available.