inteltbb.devel.win 2022.0.0.396 

dotnet add package inteltbb.devel.win --version 2022.0.0.396                

                    
                

            
NuGet\Install-Package inteltbb.devel.win -Version 2022.0.0.396
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="inteltbb.devel.win" Version="2022.0.0.396" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add inteltbb.devel.win --version 2022.0.0.396                

                    
                

            
#r "nuget: inteltbb.devel.win, 2022.0.0.396"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
// Install inteltbb.devel.win as a Cake Addin
#addin nuget:?package=inteltbb.devel.win&version=2022.0.0.396

// Install inteltbb.devel.win as a Cake Tool
#tool nuget:?package=inteltbb.devel.win&version=2022.0.0.396

Package includes header files, win-x64 dynamic and import libraries

Intel® oneAPI Threading Building Blocks (oneTBB) is a flexible performance library that supports scalable parallel programming using C++ code compliant with ISO C++ standard.

Product Compatible and additional computed target framework versions.
native native is compatible. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (11)

Showing the top 5 NuGet packages that depend on inteltbb.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.
inteldal.static.win-x64

Package includes win-x64 static libraries and interfaces Intel® oneAPI Data Analytics Library (Intel® oneDAL) is the library of Intel® architecture optimized building blocks covering all stages of data analytics: data acquisition from a data source, preprocessing, transformation, data mining, modeling, validation, and decision making.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
2022.0.0.396 889 10/25/2024
2021.13.1.11 10,290 8/7/2024
2021.12.0.496 7,727 3/26/2024
2021.11.0.49514 2,978 11/14/2023
2021.10.0.49542 14,199 7/19/2023
2021.9.0.43574 1,385 4/2/2023
2021.8.0.25874 47,570 12/20/2022
2021.7.1.15305 1,001 11/8/2022
2021.7.0.9551 4,488 9/27/2022
2021.5.2.785 1,811 3/3/2022
2021.5.1.746 1,218 1/25/2022
2021.5.0.714 785 12/13/2021
2021.4.0.622 921 9/28/2021
2021.3.0.511 993 6/28/2021
2021.2.0.371 1,151 3/26/2021
2021.1.1.133 57,354 12/3/2020
2020.3.311 40,953 10/22/2020
2020.3.254 2,751 7/11/2020
2020.2.216 10,243 3/27/2020
2020.0.166 25,690 12/4/2019
2019.8.281 1,151 9/4/2019
2019.6.245 967 5/22/2019
2019.4.235 38,192 4/29/2019

https://www.intel.com/content/www/us/en/developer/articles/release-notes/intel-oneapi-threading-building-blocks-release-notes.html