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An implementation of linear algebra numerical structures and methods for the CLR. NPack is unique in that it uses generics for matrix element definitions, and a set of matrix operations via an interface, allowing a CLR-based operations engine as well as the opportunity to use ...

http://npack.codeplex.com/Tags | math matrix npack algorithms blas gpgpu gpu |

Implementation | |

License | Ms-PL |

Platform | Windows |

A wrapper for NVidia's CuBLAS (Compute Unified Basic Linear Algebra Subprograms) for the CLR.

blas cuda gpgpu gpu hpc linear-algebra mathProject Description C++ AMP LAPACK Library is a library of linear algebra subroutines that C++ AMP developers can freely use in their own projects. Note that this project builds upon and is dependent upon the C++ AMP BLAS library. Prerequisite Understanding C++ AMP is an ...

gpgpu gpu visual-studioTheano is a Python library that allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays. It is built on top of NumPy. Its features include tight integration with NumPy, transparent use of a GPU, dynamic C code generation and lot more.

deep-learning neural-network math numerical symbolic blas numpy gpu autodiff differentiationAn OpenCL neural network implementation in Python. Uses massively parallel GPU computations to train and test neural network. Uses PyOpenCL as wrapper around OpenCL. Tight integration with NumPy. Tags: python, pyopencl, gpgpu, neural network, gpu computations, opencl, numpy

Optimal runtime selection of CPU / GPU BLAS.

The Meta.Numerics math and statistics library supports scientific computing on the .NET platform. It offers an object-oriented API for matrix algebra, advanced functions of real and complex numbers, signal processing, and data analysis.

math numerics ironpython maths matrix numerical-algorithms scienceGPGPUs offer significant horsepower in our computers that are unfortunately not easily available to .NET programs. <project name> is a system capable to map .NET bytecode into GPU IL (e.g. nVidia PTX) so that you can run .NET algorithms on state of the art hardware.

clr gpgpu parallel-programming ptxBLAS and LAPACK binding in OCaml with type-based static size checking for matrix operations

Matrix operations, implementations of BLAS/LAPACK subroutines

Ruby interfaces for blas and lapack math libraries.

Make images smaller, resizing and resampling with incredible performance, scalability and ease with features such as GPGPU processing and distributed computing.

convert-images distributed-compute gpu image-resizer resize-all-imagesMath::Matrix Perl module - multiply and invert matrices

CUDA GPU implementation of GMRES iterative Solver

Open client-server aplication, some basic GPU physics applications.

LXT math is an include-only C library for SIMD-accelerated small matrix (4x4) math.