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Intel oneAPI Math Kernel Library (Intel oneMKL) , formerly known as Intel Math Kernel Library, is a library of optimized math routines for science, engineering, and financial applications. Core math functions include BLAS , LAPACK , ScaLAPACK , sparse solvers, fast Fourier transforms , and vector math.
It is developed at the Lab of Parallel Software and Computational Science, ISCAS. OpenBLAS adds optimized implementations of linear algebra kernels for several processor architectures, including Intel Sandy Bridge [3] and Loongson. [4] It claims to achieve performance comparable to the Intel MKL. On machines that support the AVX2 instruction ...
It is developed by CenterSpace Software. Version 1.0 was released in March, 2003 as NMath Core. The current version is called NMath 7.1, released in December, 2019. NMath is built on MKL, a numerical library from Intel. [1] [2] As of 2023, NMath sells at US$1,595. [3]
Automatically Tuned Linear Algebra Software, an open source implementation of BLAS APIs for C and Fortran 77. [27] BLIS BLAS-like Library Instantiation Software framework for rapid instantiation. Optimized for most modern CPUs. BLIS is a complete refactoring of the GotoBLAS that reduces the amount of code that must be written for a given ...
C++ template library; binds to optimized BLAS such as the Intel MKL; Includes matrix decompositions, non-linear solvers, and machine learning tooling Eigen: Benoît Jacob C++ 2008 3.4.0 / 08.2021 Free MPL2: Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms. Fastor [5]
Learn how to download and install or uninstall the Desktop Gold software and if your computer meets the system requirements.
MKL may refer to: Math Kernel Library, an Intel software library; Multiple kernel learning; FAA Identifier for McKellar-Sipes Regional Airport
SMO-MKL: C++ source code for a Sequential Minimal Optimization MKL algorithm. Does -n orm regularization. [20] SimpleMKL: A MATLAB code based on the SimpleMKL algorithm for MKL SVM. [21] MKLPy: A Python framework for MKL and kernel machines scikit-compliant with different algorithms, e.g. EasyMKL [22] and others.