Intel oneAPI Math Kernel Library (Intel oneMKL; formerly Intel Math Kernel Library or Intel MKL) 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.[5][6]
Intel oneAPI Math Kernel Library is not to be confused with oneAPI Math Kernel Library (oneMKL) Interfaces, a piece of open-source glue code that allows Intel MKL routines to be used from Data Parallel C++.[8]
Intel launched the Math Kernel Library on May 9, 2003, and called it blas.lib.[9] The project's development teams are located in Russia and the United States.
The library was available in a standalone form, free of charge under the terms of Intel Simplified Software License[3] which allow redistribution.[10]
Since April 2020, MKL has become part of oneAPI. Commercial support for oneMKL is available when purchased as part of oneAPI Base Toolkit.
Following Apple’s transition away from Intel CPUs, support for macOS is scheduled for removal in 2024.
MKL and other programs generated by the Intel C++ Compiler and the Intel DPC++ Compiler improve performance with a technique called function multi-versioning: a function is compiled or written for many of the x86 instruction set extensions, and at run-time a "master function" uses the CPUID instruction to select a version most appropriate for the current CPU. However, as long as the master function detects a non-Intel CPU, it almost always chooses the most basic (and slowest) function to use, regardless of what instruction sets the CPU claims to support. This has netted the system a nickname of "cripple AMD" routine since 2009.[11] As of 2020[update], Intel's MKL remains the numeric library installed by default along with many pre-compiled mathematical applications on Windows (such as NumPy, SymPy).[12][13] Although relying on the MKL, MATLAB implemented a workaround starting with Release 2020a which ensures full support for AVX2 by the MKL also for non Intel (AMD) CPUs.[14]
Detailsedit
Functional categoriesedit
Intel MKL has the following functional categories:[15]
Linear algebra: BLAS routines are vector-vector (Level 1), matrix-vector (Level 2) and matrix-matrix (Level 3) operations for real and complex single and double precision data. LAPACK consists of tuned LU, Cholesky and QR factorizations, eigenvalue and least squares solvers. MKL also includes Sparse BLAS, ScaLAPACK, Sparse Solver, Extended Eigensolver (FEAST, PARDISO), PBLAS and BLACS. MKL is even better at small dimensions than libxsmm.
Since MKL uses standard interfaces for BLAS and LAPACK, the application which uses other implementations can get better performance on Intel and compatible processors by re-linking with MKL libraries.
MKL includes a variety of Fast Fourier Transforms (FFTs) from 1D to multidimensional, complex to complex, real to complex, and real to real transforms of arbitrary lengths. Applications written with the open source FFTW can be easily ported to MKL by linking with interface wrapper libraries provided as part of MKL for easy migration.
Cluster versions of LAPACK and FFTs are also available as part of MKL to take advantage of MPI parallelism in addition to single node parallelism from multithreading.
Vector math functions include computationally intensive core mathematical operations for single and double precision real and complex data types. These are similar to libm functions from compiler libraries but operate on vectors rather than scalars to provide better performance. There are various controls for setting accuracy, error mode and denormalized number handling to customize the behavior of the routines.
Statistics functions include random number generators and probability distributions, optimized for multicore processors. Also included are compute-intensive in and out-of-core routines to compute basic statistics, estimation of dependencies etc.
Data fitting functions include splines (linear, quadratic, cubic, look-up, stepwise constant) for 1-dimensional interpolation that can be used in data analytics, geometric modeling and surface approximation applications.
Once, MKL included Deep Neural Network functions, but they were removed in version 2020.[16] Its successor is the Intel oneAPI Deep Neural Network Library.
^"MKL - Intel Math Kernel Library". 23 April 2012.
^"oneapi-src/oneMKL". oneAPI-SRC. 19 March 2021. oneMKL interfaces are an open-source implementation of the oneMKL Data Parallel C++ (DPC++) interface according to the oneMKL specification. It works with multiple devices (backends) using device-specific libraries underneath.
^"Intel launches library tool for developers. (Intel Math Kernel Library 6.0) (Brief Article)". Telecomworldwire. May 9, 2003. Retrieved November 29, 2009.
^Agner Fog. "Agner's CPU blog - Intel's "cripple AMD" function".
^"Comment chain in: r/matlab - How-To force Matlab to use a fast codepath on AMD Ryzen/TR CPUs - up to 250% performance gains". reddit. Retrieved 2020-06-06.
^"High-Performance Computing Center Stuttgart - Knowledge Base - Libraries(Hawk)". Retrieved 2020-06-06.
^"Crippled No Longer: Matlab Now Runs on AMD CPUs at Full Speed - ExtremeTech". www.extremetech.com. Retrieved 2020-10-29.
^admin (2019-11-14). "Developer Reference for Intel® Math Kernel Library - C". software.intel.com. Retrieved 2019-11-27.
^"Intel® Math Kernel Library Release Notes and New Features". Intel. Retrieved 10 October 2023.
External linksedit
Official website
Documentation
oneMKL User Forum
oneAPI oneMKL Specification
oneMKL Benchmarks Suite
January 01, 1970
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Intel oneAPI Math Kernel Library Intel oneMKL formerly Intel Math Kernel Library or Intel MKL 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 5 6 Intel oneAPI Math Kernel LibraryDeveloper s IntelInitial releaseMay 9 2003 20 years ago 2003 05 09 Stable release2023 1 March 29 2023 13 months ago 2023 03 29 1 Written inC C Intel DPC Compiler FortranOperating systemMicrosoft Windows Linux macOSPlatformCPU 2 Intel Xeon Intel Core Intel Atom GPU Intel UHD Graphics for 11th generation Intel processors or newer Intel Iris Xe graphics Intel Arc graphics Intel Data Center GPU Flex Series Intel Data Center GPU Max SeriesTypeLibrary and frameworkLicensefreeware under ISSL 3 4 Websitewww wbr intel wbr com wbr content wbr www wbr us wbr en wbr developer wbr tools wbr oneapi wbr onemkl wbr html The library supports Intel CPUs and GPUs 2 and is available for Windows Linux and macOS operating systems 5 6 7 Intel oneAPI Math Kernel Library is not to be confused with oneAPI Math Kernel Library oneMKL Interfaces a piece of open source glue code that allows Intel MKL routines to be used from Data Parallel C 8 Contents 1 History and licensing 2 Performance and vendor lock in 3 Details 3 1 Functional categories 4 See also 5 References 6 External linksHistory and licensing editIntel launched the Math Kernel Library on May 9 2003 and called it blas lib 9 The project s development teams are located in Russia and the United States The library was available in a standalone form free of charge under the terms of Intel Simplified Software License 3 which allow redistribution 10 Since April 2020 MKL has become part of oneAPI Commercial support for oneMKL is available when purchased as part of oneAPI Base Toolkit Following Apple s transition away from Intel CPUs support for macOS is scheduled for removal in 2024 Performance and vendor lock in editSee also Intel C Compiler Reception MKL and other programs generated by the Intel C Compiler and the Intel DPC Compiler improve performance with a technique called function multi versioning a function is compiled or written for many of the x86 instruction set extensions and at run time a master function uses the CPUID instruction to select a version most appropriate for the current CPU However as long as the master function detects a non Intel CPU it almost always chooses the most basic and slowest function to use regardless of what instruction sets the CPU claims to support This has netted the system a nickname of cripple AMD routine since 2009 11 As of 2020 update Intel s MKL remains the numeric library installed by default along with many pre compiled mathematical applications on Windows such as NumPy SymPy 12 13 Although relying on the MKL MATLAB implemented a workaround starting with Release 2020a which ensures full support for AVX2 by the MKL also for non Intel AMD CPUs 14 Details editFunctional categories edit Intel MKL has the following functional categories 15 Linear algebra BLAS routines are vector vector Level 1 matrix vector Level 2 and matrix matrix Level 3 operations for real and complex single and double precision data LAPACK consists of tuned LU Cholesky and QR factorizations eigenvalue and least squares solvers MKL also includes Sparse BLAS ScaLAPACK Sparse Solver Extended Eigensolver FEAST PARDISO PBLAS and BLACS MKL is even better at small dimensions than libxsmm Since MKL uses standard interfaces for BLAS and LAPACK the application which uses other implementations can get better performance on Intel and compatible processors by re linking with MKL libraries MKL includes a variety of Fast Fourier Transforms FFTs from 1D to multidimensional complex to complex real to complex and real to real transforms of arbitrary lengths Applications written with the open source FFTW can be easily ported to MKL by linking with interface wrapper libraries provided as part of MKL for easy migration Cluster versions of LAPACK and FFTs are also available as part of MKL to take advantage of MPI parallelism in addition to single node parallelism from multithreading Vector math functions include computationally intensive core mathematical operations for single and double precision real and complex data types These are similar to libm functions from compiler libraries but operate on vectors rather than scalars to provide better performance There are various controls for setting accuracy error mode and denormalized number handling to customize the behavior of the routines Statistics functions include random number generators and probability distributions optimized for multicore processors Also included are compute intensive in and out of core routines to compute basic statistics estimation of dependencies etc Data fitting functions include splines linear quadratic cubic look up stepwise constant for 1 dimensional interpolation that can be used in data analytics geometric modeling and surface approximation applications Partial Differential Equations Nonlinear Optimization Problem Solvers Once MKL included Deep Neural Network functions but they were removed in version 2020 16 Its successor is the Intel oneAPI Deep Neural Network Library See also editOneAPI compute acceleration List of numerical libraries Automatically Tuned Linear Algebra Software ATLAS GotoBLAS and OpenBLAS Integrated Performance Primitives Numerical Library Collection by NEC for their vector processorReferences edit Intel Math Kernel Library Release Notes and New Features software intel com a b Intel oneAPI Math Kernel Library oneMKL Intel Software a b Intel Simplified Software License OneMKL oneAPI Specification 1 1 rev 1 documentation a b Intel Math Kernel Library a b Intel Math Kernel Library MKL MKL Intel Math Kernel Library 23 April 2012 oneapi src oneMKL oneAPI SRC 19 March 2021 oneMKL interfaces are an open source implementation of the oneMKL Data Parallel C DPC interface according to the oneMKL specification It works with multiple devices backends using device specific libraries underneath Intel launches library tool for developers Intel Math Kernel Library 6 0 Brief Article Telecomworldwire May 9 2003 Retrieved November 29 2009 Intel Math Kernel Library Licensing FAQ Agner Fog Agner s CPU blog Intel s cripple AMD function Comment chain in r matlab How To force Matlab to use a fast codepath on AMD Ryzen TR CPUs up to 250 performance gains reddit Retrieved 2020 06 06 High Performance Computing Center Stuttgart Knowledge Base Libraries Hawk Retrieved 2020 06 06 Crippled No Longer Matlab Now Runs on AMD CPUs at Full Speed ExtremeTech www extremetech com Retrieved 2020 10 29 admin 2019 11 14 Developer Reference for Intel Math Kernel Library C software intel com Retrieved 2019 11 27 Intel Math Kernel Library Release Notes and New Features Intel Retrieved 10 October 2023 External links editOfficial website nbsp Documentation oneMKL User Forum oneAPI oneMKL Specification oneMKL Benchmarks Suite Retrieved from https en wikipedia org w index php title Math Kernel Library amp oldid 1193452119, wikipedia, wiki, book, books, library,
