| [cuDNN](https://developer.nvidia.com/cudnn) | The NVIDIA CUDA Deep Neural Network library (cuDNN) is a GPU-accelerated library of primitives for deep neural networks. |
| [FFTW](http://www.fftw.org) | FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions, of arbitrary input size, and of both real and complex data. |
| [GSL](http://www.gnu.org/software/gsl/) | The GNU Scientific Library (GSL) is a numerical library for C and C++ programmers. The library provides a wide range of mathematical routines such as random number generators, special functions and least-squares fitting. |
| [Hypre](https://computation.llnl.gov/casc/linear_solvers/sls_hypre.html) | Hypre is a library for solving large, sparse linear systems of equations on massively parallel computers. The problems of interest arise in the simulation codes being developed at LLNL and elsewhere to study physical phenomena in the defense, environmental, energy, and biological sciences. |
| [imkl](http://software.intel.com/en-us/intel-mkl/) | Intel Math Kernel Library is a library of highly optimized, extensively threaded math routines for science, engineering, and financial applications that require maximum performance. Core math functions include BLAS, LAPACK, ScaLAPACK, Sparse Solvers, Fast Fourier Transforms, Vector Math, and more. |
| [LIBLINEAR](http://www.csie.ntu.edu.tw/~cjlin/liblinear/) | LIBLINEAR is a simple package for solving large-scale regularized linear classification and regression. It supports L2-regularized logistic regression, L2-loss support vector classification L1-loss support vector classification, L1-regularized L2-loss support vector classification, L1-regularized logistic regression L2-regularized L2-loss support vector regression, L1-loss support vector regression. |
| [mkl](http://software.intel.com/en-us/intel-mkl/) | Intel Math Kernel Library is a library of highly optimized, extensively threaded math routines for science, engineering, and financial applications that require maximum performance. Core math functions include BLAS, LAPACK, ScaLAPACK, Sparse Solvers, Fast Fourier Transforms, Vector Math, and more. |
