intelopenmp.devel.win
2025.0.3.1400
See the version list below for details.
dotnet add package intelopenmp.devel.win --version 2025.0.3.1400
NuGet\Install-Package intelopenmp.devel.win -Version 2025.0.3.1400
<PackageReference Include="intelopenmp.devel.win" Version="2025.0.3.1400" />
paket add intelopenmp.devel.win --version 2025.0.3.1400
#r "nuget: intelopenmp.devel.win, 2025.0.3.1400"
// Install intelopenmp.devel.win as a Cake Addin #addin nuget:?package=intelopenmp.devel.win&version=2025.0.3.1400 // Install intelopenmp.devel.win as a Cake Tool #tool nuget:?package=intelopenmp.devel.win&version=2025.0.3.1400
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. |
---|---|
native | native is compatible. |
-
- intelopenmp.redist.win (= 2025.0.3.1400)
NuGet packages (7)
Showing the top 5 NuGet packages that depend on intelopenmp.devel.win:
Package | Downloads |
---|---|
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. |
|
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. |
|
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. |
|
intelipp.devel.win-x64
Intel® Integrated Performance Primitives (Intel® IPP) provides developers with high-quality, production-ready, low-level building blocks for image processing, signal processing, and data processing (data compression and decompression) applications. This package provides C programming language interfaces. Intel IPP 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. |
|
intelipp.devel.win-x86
Intel® Integrated Performance Primitives (Intel® IPP) provides developers with high-quality, production-ready, low-level building blocks for image processing, signal processing, and data processing (data compression and decompression) applications. This package provides C programming language interfaces. Intel IPP 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. |
GitHub repositories
This package is not used by any popular GitHub repositories.
Version | Downloads | Last updated |
---|---|---|
2025.0.4.1521 | 117 | 12/12/2024 |
2025.0.3.1400 | 94 | 12/2/2024 |
2025.0.1.1238 | 111 | 11/19/2024 |
2025.0.0.1162 | 653 | 10/25/2024 |
2024.2.1.1083 | 7,427 | 8/7/2024 |
2024.1.0.964 | 2,821 | 3/26/2024 |
2024.0.1.49879 | 639 | 12/11/2023 |
2024.0.0.49840 | 855 | 11/14/2023 |
2023.2.2.49531 | 261 | 10/24/2023 |
2023.2.0.49496 | 698 | 7/19/2023 |
2023.1.0.46319 | 578 | 4/2/2023 |
2023.0.0.25922 | 49,735 | 12/20/2022 |
2022.2.1.19741 | 579 | 11/8/2022 |
2022.2.0.9553 | 646 | 9/27/2022 |
2022.0.3.3747 | 23,762 | 3/3/2022 |
2022.0.2.3692 | 669 | 1/25/2022 |
2022.0.0.3663 | 14,882 | 12/13/2021 |
2021.4.0.3556 | 5,745 | 9/29/2021 |
2021.3.0.3372 | 864 | 6/29/2021 |
2021.2.0.616 | 16,174 | 3/29/2021 |
2021.1.2.265 | 644 | 12/22/2020 |
2021.1.1.191 | 6,202 | 12/3/2020 |
2020.4.311 | 36,875 | 10/22/2020 |
2020.2.254 | 1,018 | 7/17/2020 |
2020.1.216 | 3,923 | 3/27/2020 |
2020.0.166 | 19,053 | 12/13/2019 |
2019.5.281 | 944 | 8/30/2019 |
2019.4.245 | 2,747 | 5/27/2019 |
2019.3.235 | 31,759 | 4/29/2019 |