intelopenmp.devel.win
2024.0.0.49840
dotnet add package intelopenmp.devel.win --version 2024.0.0.49840
NuGet\Install-Package intelopenmp.devel.win -Version 2024.0.0.49840
<PackageReference Include="intelopenmp.devel.win" Version="2024.0.0.49840" />
paket add intelopenmp.devel.win --version 2024.0.0.49840
#r "nuget: intelopenmp.devel.win, 2024.0.0.49840"
// Install intelopenmp.devel.win as a Cake Addin
#addin nuget:?package=intelopenmp.devel.win&version=2024.0.0.49840
// Install intelopenmp.devel.win as a Cake Tool
#tool nuget:?package=intelopenmp.devel.win&version=2024.0.0.49840
Package includes header files, win-x64 and win-x86 dynamic and import libraries
Intel OpenMP* Runtime Library provides OpenMP API specification support in Intel® C Compiler, Intel® C++ Compiler and Intel® Fortran Compiler. It helps to improve performance by creating multithreaded software using shared memory and running on multi-core processor systems.
Product | Versions Compatible and additional computed target framework versions. |
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native | native is compatible. |
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- intelopenmp.redist.win (= 2024.0.0.49840)
NuGet packages (5)
Showing the top 5 NuGet packages that depend on intelopenmp.devel.win:
Package | Downloads |
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intelmkl.static.win-x64
The package includes static win-x64 libraries Intel® oneAPI Math Kernel Library (Intel® oneMKL) is a computing math library of highly optimized, extensively threaded routines for applications that require maximum performance. This package provides C and Data Parallel C++ (DPC++) programming language interfaces. Intel MKL C language interfaces can be called from applications written in either C or C++, as well as in any other language that can reference a C interface. Use it to optimize code for current and future generations of Intel® CPUs and GPUs. |
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intelmkl.static.win-x86
The package includes static win-x86 libraries Intel® oneAPI Math Kernel Library (Intel® oneMKL) is a computing math library of highly optimized, extensively threaded routines for applications that require maximum performance. This package provides C and Data Parallel C++ (DPC++) programming language interfaces. Intel MKL C language interfaces can be called from applications written in either C or C++, as well as in any other language that can reference a C interface. Use it to optimize code for current and future generations of Intel® CPUs and GPUs. |
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intelmkl.devel.win-x64
The package includes dynamic win-x64 libraries and header files Intel® oneAPI Math Kernel Library (Intel® oneMKL) is a computing math library of highly optimized, extensively threaded routines for applications that require maximum performance. This package provides C and Data Parallel C++ (DPC++) programming language interfaces. Intel MKL C language interfaces can be called from applications written in either C or C++, as well as in any other language that can reference a C interface. Use it to optimize code for current and future generations of Intel® CPUs and GPUs. |
|
intelmkl.devel.win-x86
The package includes dynamic win-x86 libraries and header files Intel® oneAPI Math Kernel Library (Intel® oneMKL) is a computing math library of highly optimized, extensively threaded routines for applications that require maximum performance. This package provides C and Data Parallel C++ (DPC++) programming language interfaces. Intel MKL C language interfaces can be called from applications written in either C or C++, as well as in any other language that can reference a C interface. Use it to optimize code for current and future generations of Intel® CPUs and GPUs. |
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onednn.cpu_iomp.devel.win-x64
oneDNN development package with Intel OpenMP runtime support Intel(R) oneAPI Deep Neural Network Library (Intel(R) oneDNN) is an open-source cross-platform performance library of basic building blocks for deep learning applications. The library is optimized for Intel Architecture Processors, Intel Processor Graphics and Xe architecture-based Graphics. |
GitHub repositories
This package is not used by any popular GitHub repositories.
Version | Downloads | Last updated |
---|---|---|
2024.0.0.49840 | 145 | 11/14/2023 |
2023.2.2.49531 | 133 | 10/24/2023 |
2023.2.0.49496 | 405 | 7/19/2023 |
2023.1.0.46319 | 412 | 4/2/2023 |
2023.0.0.25922 | 23,339 | 12/20/2022 |
2022.2.1.19741 | 447 | 11/8/2022 |
2022.2.0.9553 | 550 | 9/27/2022 |
2022.0.3.3747 | 17,760 | 3/3/2022 |
2022.0.2.3692 | 579 | 1/25/2022 |
2022.0.0.3663 | 13,588 | 12/13/2021 |
2021.4.0.3556 | 4,783 | 9/29/2021 |
2021.3.0.3372 | 771 | 6/29/2021 |
2021.2.0.616 | 16,074 | 3/29/2021 |
2021.1.2.265 | 561 | 12/22/2020 |
2021.1.1.191 | 4,973 | 12/3/2020 |
2020.4.311 | 21,678 | 10/22/2020 |
2020.2.254 | 925 | 7/17/2020 |
2020.1.216 | 3,805 | 3/27/2020 |
2020.0.166 | 17,226 | 12/13/2019 |
2019.5.281 | 825 | 8/30/2019 |
2019.4.245 | 922 | 5/27/2019 |
2019.3.235 | 28,056 | 4/29/2019 |