Search Results for "blas"
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Showing 24 open source projects for "blas"
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OpenBLAS
OpenBLAS is an optimized BLAS library based on GotoBLAS2.
OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version. -
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librsb
A shared memory parallel sparse matrix library including Sparse BLAS.
...On these variants, librsb has been found to be faster than Intel MKL's implementation for CSR. Most numerical kernels code is auto generated, and the supported numerical types can be chosen by the user at build time. librsb implements the Sparse BLAS standard, as specified in the BLAS Forum documents. -
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octave-ocl
OpenCL support for GNU Octave
...The Package offers new numeric data types with many built-in operations (e.g., overloaded operators). It is flexibly extendible by user-written OpenCL C programs. The Package does not, by itself, provide parallelization of higher numerical methods (like BLAS or LAPACK). The Package is also available from the corresponding Octave Forge webpage https://octave.sourceforge.io/ocl/index.html. More information on GNU Octave can be found at https://www.octave.org. -
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ATLAS (Automatically Tuned Linear Algebra Software) provides highly optimized Linear Algebra kernels for arbitrary cache-based architectures. ATLAS provides ANSI C and Fortran77 interfaces for the entire BLAS API, and a small portion of the LAPACK AP
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MatLisp is a package for Common Lisp for handling matrices with real-valued or complex-valued elements. BLAS is used for elementary matrix operations and LAPACK is used for linear algebra routines.
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CPPLapack is a c++ class wrapper for BLAS, LAPACK and PARDISO. Its special features are the followings. [1]User-friendly interface [2]Hi-speed matrix calculations using BLAS and LAPACK [3]Minimized number of copy times using Smart Temporary system
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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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CVM C++ Class Library encapsulates concepts of vector and square, band, symmetric and hermitian matrices in Euclidean space of real and complex numbers. It utilizes BLAS and LAPACK Fortran libraries. See http://cvmlib.com for binaries and more details.
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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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Runge
Runge is an Interactive Solver for Systems of Differential Equations
Runge is an Interactive Solver for Systems of Ordinary Differential Equations. It solves initial value problem (aka Cauchy problem). Few advantages Runge provides: It's fast. It utilizes BLAS and LAPACK libraries optimized for modern multi-core processors. It's interactive. It allows you to start a solution by mouse click on a plane. It's precise. It uses Runge Rule to adjust step length to satisfy required precision on each step. It's effective. When it needs to compute derivatives (Jacobian matrix, for example) it does that analytically, i.e. without using numerical methods. ... -
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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 MPACK project is providing a multiple precision arithmetic version of linear algebra package, similar to the BLAS and LAPACK.
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The goal of the Fortran-to-Java project is to provide Java Application Programming Interfaces (APIs) to numerical libraries originally written in Fortran (particularly BLAS and LAPACK). The result of this work, JLAPACK, is distributed here.
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QVision: Computer Vision Library for Qt
Computer vision and image processing library for Qt.
This library contains among other things a set of graphical widgets for video output, performance evaluation and augmented reality. The library also provides classes for several data types usually required by computer vision and image processing applications such as vectors, matrices, quaternions and images. Thanks to a large number of wrapper functions these objects can be used with highly efficient functionality from third party libraries such as OpenCV, GNU Scientific Library,... -
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Seldon is a C++ library for linear algebra. It provides vectors and matrices: full, sparse, triangular, hermitian, ... It includes interfaces to Blas, Lapack, Mumps, SuperLU and UmfPack. Seldon implements several solvers such as Gmres, BiCgSTAB, Qmr,
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FLENS (Flexible Library for Efficient Numerical Solutions) is a C++ library for scientific computing. It can be considered as a very convenient and --- at the same time --- extremely efficient interface for BLAS and LAPACK. But it is much more than this
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NTmatrix C++ Matrix Class
A C++ matrix class for easy matrix manipulation
A C++ matrix class for creating matrix objects and easily performing elementary operations between matrix objects including addition, subtraction, multiplication, transposition, and trace. -
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Tsunami is an open-source high performance computing language. With it you can write streaming data-parallel algorithms that utilize GPGPUs for orders-of-magnitude speed-up with the ease of writing sequential algorithms.
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BLAS (Basic Linear Algebra Subprograms) is used to perform operations such as vector and matrix multiplication. LAPACK is buit using BLAS. This project is a beginning of BLAS functions and procedures for OpenCL language on GPU.
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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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CPPScaLapack is a C++ class wrapper for PBLAS and ScaLAPACK with MPI. CPPScaLapack provides a user-friendly interface of high-speed parallel matrix calculation with BLAS and LAPACK techonologies for programers concerning with large-scale computing.
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Linear algebra C++ library built upon a tensor class template that can be used to represent tensors of ranks 0 - scalaras, 1 - vectors, 2 - matrices, 3 - tensors of rank 3, etc. It also includes an interface to BLAS and LAPACK subroutines.
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