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Math Kernel Library: History, Technology & Science

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.

Language: English [EN]
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Math Kernel Library topic overview

The analysis highlights History, Technology and Science as prominent areas in the source structure around Math Kernel Library.

Related topics
25
Source areas
4
Connected nodes
29
Extracted relationships
27
Concept neighborhoods
15
Bridge connections
29

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 10 topics
Details · 8 topics
Performance and vendor lock-in · 6 topics
History and licensing · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developer
Intel
License
freeware under ISSL
Operating system
Microsoft Windows, Linux
Platform
Intel Xeon · Intel Core · Intel Atom · Intel UHD Graphics for 11th generation Intel processors or newer · Intel Iris Xe graphics
Release
November 1994; 31 years ago (1994-11)
Stable release
2024.2 / June 14, 2024; 2 years ago (2024-06-14)

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

History and licensing

Performance and vendor lock-in

Details

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Math Kernel Library connects Entity context

The extracted context around Math Kernel Library shows recurring relationship patterns in the source. For example, Math Kernel Library → April, Base Toolkit, Commercial, In, Intel, Intel BLAS Library, Intel Math Kernel Library, Intel Simplified Software License, November, The, Toolkits Another extracted example is Math Kernel Library → Intel Arc graphics, Intel Atom, Intel Core, Intel Data Center GPU Flex Series, Intel Data Center GPU Max Series, Intel Iris Xe graphics, Intel UHD Graphics for 11th generation Intel processors or newer, Intel Xeon. Use these groups to spot repeated connection types before inspecting the individual relationships.

Math Kernel Library

Top relations

related to history · 11
Math Kernel Library → April, Base Toolkit, Commercial, In, Intel, Intel BLAS Library, Intel Math Kernel Library, Intel Simplified Software License, November, The, Toolkits
Platform · 8
Math Kernel Library → Intel Arc graphics, Intel Atom, Intel Core, Intel Data Center GPU Flex Series, Intel Data Center GPU Max Series, Intel Iris Xe graphics, Intel UHD Graphics for 11th generation Intel processors or newer, Intel Xeon
Developer · 1
Math Kernel Library → Intel
License · 1
Math Kernel Library → freeware under ISSL
Operating system · 1
Math Kernel Library → Microsoft Windows, Linux
Release · 1
Math Kernel Library → November 1994; 31 years ago (1994-11)
Stable release · 1
Math Kernel Library → 2024.2 / June 14, 2024; 2 years ago (2024-06-14)
Type · 1
Math Kernel Library → Library and framework
Website · 1
Math Kernel Library → www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html
Written in · 1
Math Kernel Library → C/C++, DPC++, Fortran

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

intel library oneapi onemkl math mkl kernel functions routines applications blas available performance also lapack part include windows data core

Math Kernel Library relationships Subject–Predicate–Object triples

TTTA extracted 27 structured relationships around Math Kernel Library. Examples in this analysis include Math Kernel Library → Developer → Intel and Math Kernel Library → License → freeware under ISSL. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Math Kernel LibraryDeveloperIntel1.00infobox
Math Kernel LibraryLicensefreeware under ISSL1.00infobox
Math Kernel LibraryOperating systemMicrosoft Windows, Linux1.00infobox
Math Kernel LibraryPlatformIntel Xeon1.00infobox
Math Kernel LibraryPlatformIntel Core1.00infobox
Math Kernel LibraryPlatformIntel Atom1.00infobox
Math Kernel LibraryPlatformIntel UHD Graphics for 11th generation Intel processors or newer1.00infobox
Math Kernel LibraryPlatformIntel Iris Xe graphics1.00infobox
Math Kernel LibraryPlatformIntel Arc graphics1.00infobox
Math Kernel LibraryPlatformIntel Data Center GPU Flex Series1.00infobox
Math Kernel LibraryPlatformIntel Data Center GPU Max Series1.00infobox
Math Kernel LibraryReleaseNovember 1994; 31 years ago (1994-11)1.00infobox
Math Kernel LibraryStable release2024.2 / June 14, 2024; 2 years ago (2024-06-14)1.00infobox
Math Kernel LibraryTypeLibrary and framework1.00infobox
Math Kernel LibraryWebsitewww.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html1.00infobox
Math Kernel LibraryWritten inC/C++, DPC++, Fortran1.00infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around Math Kernel Library bring nearby vocabulary together. In this analysis, examples include Kernel, Math and Core. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Math Kernel Library
    • Kernel
    • Math
    • Core
    • Oneapi
    • Library
    • Known
    • Onemkl
    • Dpc
    • Vector
    • Data
    • Include
    • Blas
  • math kernel library
    • Oneapi
    • Kernel
    • Math
    • Core
    • Known
    • Onemkl
    • Library
    • Dpc
    • Windows
    • Routines
    • Vector
    • Data
  • oneapi
    • Onemkl
    • Part
    • Known
    • Dpc
    • Support
    • Available
    • Performance
    • Routines
    • Linux
    • Operating
    • Core
    • Linear
  • library
    • Oneapi
    • Onemkl
    • Math
    • Windows
    • Known
    • Linux
    • Operating
    • Dpc
    • Available
    • Part
    • Performance
    • Routines
  • blas
    • Scalapack
    • Complex
    • Core
    • Processors
    • Real
    • Data
    • Lapack
    • Also
    • Onemkl
    • Performance
    • Math
    • Intel
  • wrapper library
    • Oneapi
    • Onemkl
    • Math
    • Windows
    • Known
    • Linux
    • Operating
    • Dpc
    • Available
    • Part
    • Performance
    • Routines
  • intel dpc++ compiler
    • Onemkl
    • Oneapi
    • Library
    • Written
    • Kernel
    • Performance
    • Math
    • Available
    • Formerly
    • Known
    • Linux
    • Operating
  • lapack
    • Solvers
    • Mkl
    • Scalapack
    • Complex
    • Processors
    • Real
    • Vector
    • Libraries
    • Also
    • Available
    • Part
    • Performance

Connections between topic areas Semantic bridges

For Math Kernel Library, one of the stronger structural bridges in this analysis connects Math Kernel Library with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Math Kernel LibraryOverview · splits 19 ⟂ 11
Math Kernel LibraryDetails · splits 21 ⟂ 9
Math Kernel LibraryPerformance and vendor lock-in · splits 23 ⟂ 7

Map overview Semantic statistics

Math Kernel Library

Nodes30
Edges29
Triples27
Avg. degree1.93
Density0.066667
Components1

Source & methodology

TTTA analyzes the structure around Math Kernel Library to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Technology & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Math Kernel Library · EN edition · Analysis: TopicsToTalkAbout

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