inteltbb.redist.win 2021.7.1.15305

dotnet add package inteltbb.redist.win --version 2021.7.1.15305
NuGet\Install-Package inteltbb.redist.win -Version 2021.7.1.15305
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.redist.win" Version="2021.7.1.15305" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add inteltbb.redist.win --version 2021.7.1.15305
#r "nuget: inteltbb.redist.win, 2021.7.1.15305"
#r directive can be used in F# Interactive, C# scripting and .NET Interactive. Copy this into the interactive tool or source code of the script to reference the package.
// Install inteltbb.redist.win as a Cake Addin
#addin nuget:?package=inteltbb.redist.win&version=2021.7.1.15305

// Install inteltbb.redist.win as a Cake Tool
#tool nuget:?package=inteltbb.redist.win&version=2021.7.1.15305

Package includes win-x64 and win-x86 dynamic 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 Versions
native native
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This package has no dependencies.

NuGet packages (7)

Showing the top 5 NuGet packages that depend on inteltbb.redist.win:

Package Downloads
inteltbb.devel.win

Package includes header files, win-x64 and win-x86 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.

intelmkl.redist.win-x64

The package includes runtime 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.redist.win-x86

The package includes runtime 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.

inteldal.redist.win-x64

Package includes win-x64 run-time libraries 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.

inteldaal.redist.win-x86

Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) helps speed up big data analysis by providing highly optimized algorithmic building blocks for all stages of data analytics (preprocessing, transformation, analysis, modeling, validation, and decision making) in batch, online, and distributed processing modes of computation.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
2021.7.1.15305 161 11/8/2022
2021.7.0.9551 300 9/27/2022
2021.5.2.785 753 3/3/2022
2021.5.1.746 552 1/25/2022
2021.5.0.714 422 12/13/2021
2021.4.0.622 498 9/28/2021
2021.3.0.511 574 6/28/2021
2021.2.0.371 731 3/26/2021
2021.1.1.133 15,939 12/3/2020
2020.3.311 8,376 10/22/2020
2020.3.254 1,724 7/11/2020
2020.2.216 6,825 3/27/2020
2020.0.166 23,651 12/4/2019
2019.8.281 821 9/4/2019
2019.6.245 787 5/22/2019
2019.4.235 24,584 4/29/2019