Search Results for "sparse matrices"
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Showing 10 open source projects for "sparse matrices"
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Armadillo
fast C++ library for linear algebra & scientific computing
* Fast C++ library for linear algebra (matrix maths) and scientific computing * Easy to use functions and syntax, deliberately similar to Matlab / Octave * Uses template meta-programming techniques to increase efficiency * Provides user-friendly wrappers for OpenBLAS, Intel MKL, LAPACK, ATLAS, ARPACK, SuperLU and FFTW libraries * Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. * Downloads:... -
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ViennaCL
Linear algebra and solver library using CUDA, OpenCL, and OpenMP
ViennaCL provides high level C++ interfaces for linear algebra routines on CPUs and GPUs using CUDA, OpenCL, and OpenMP. The focus is on generic implementations of iterative solvers often used for large linear systems and simple integration into existing projects. -
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Universal Java Matrix Package
sparse and dense matrix, linear algebra, visualization, big data
...Multi-dimensional matrices as well as generic matrices with a specified object type are supported and very large matrices can be handled even when they do not fit into memory. -
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Block Matrix library
Highly efficient implementation of BLAS for sparse block matrices.
Highly efficient implementation of BLAS for sparse block matrices. Accelerated using heavy-duty C++ meta-programming, SIMD instructions and GPU. -
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TifaMMy isn't the fastest Matrix Multiplication yet! A library for cache oblivious matrix operations using the space filling Peano curve. Aim is for BLAS / LAPACK functionality (but with an intuitive C++ API).
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The Lidy project is a small cross-platform library under LPGL licence, written in C language. It has been designed in order to facilitate the sparse matrices handling.
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I/O routines and tools for sparse matrices.
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uBLAS is a C++ template class library that provides BLAS level 1, 2, 3 functionality for dense, packed and sparse matrices and many numerical algorithms for linear algebra.
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MatGen is a matrix generator. It outputs matrices in MatrixMarket file format, taking as input a file describing the matrices´ properties. Currently it supports only random sparse matrices.
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