A simple path to accelerated core solvers, providing up to 10x acceleration in the computationally intense linear solver portion of simulations, and is very well suited for implicit unstructured methods.
NVIDIA CUDA Fast Fourier Transform Library (cuFFT) provides a simple interface for computing FFTs up to 10x faster, without having to develop your own custom GPU FFT implementation.
NVIDIA CUDA BLAS Library (cuBLAS) is a GPU-accelerated version of the complete standard BLAS library that delivers 6x to 17x faster performance than the latest MKL BLAS.
NVIDIA Performance Primitives is a GPU accelerated library with a very large collection of 1000's of image processing primitives and signal processing primitives.
GPU-accelerated linear algebra library by EM Photonics, that utilizes CUDA to dramatically improve the computation speed of sophisticated mathematics.
A collection of next gen linear algebra routines. Designed for heterogeneous GPU-based architectures. Supports current LAPACK and BLAS standards.
Developed by RogueWave, a comprehensive set of mathematical and statistical functions that offloads work to GPUs.
NVIDIA CUDA Sparse (cuSPARSE) Matric library provides a collection of basic linear algebra subroutines used for sparse matrices that delivers over 8x performance boost.
Comprehensive GPU function library, including functions for math, signal and image processing, statistics, and more. Interfaces for C, C++, Fortran, and Python.
The CUDA Random Number Generation library performs high quality GPU-accelerated random number generation (RNG) over 8x faster than typical CPU only code.
An industry proven, highly accurate collection of standard mathematical functions, providing high performance on NVIDIA GPUs.
A powerful, open source library of parallel algorithms and data structures. Perform GPU-accelerated sort, scan, transform, and reductions with just a few lines of code.
Triton provides real-time visual simulation of the ocean and bodies of water for games, simulation, and training applications.
Accelerate video performance with this complete set of NVIDIA video codec tools, which includes the NVENC H.264 hardware encoding API as well as NVCUVID CUDA decoding API.
HiPLAR (High Performance Linear Algebra in R) delivers high performance linear algebra (LA) routines for the R platform for statistical computing using the latest software libraries for heterogeneous architectures.
OpenCV is the leading open source library for computer vision, image processing and machine learning, and now features GPU acceleration for real-time operation.
GPP is a computational geometry engine that is optimized for GPU acceleration, and can be used in advanced Graphical Information Systems (GIS), Electronic Design Automation (EDA), computer vision, and motion planning solutions.
A library for sparse iterative methods with special focus on multi-core and accelerator technology such as GPUs.
A GPU accelerated Open Source C++ library of generic parallel algorithms for sparse linear algebra and graph computations. This is a legacy library we recommend using cuSPARSE.