How to Install and Uninstall tbb2020.3.i686 Package on Fedora 39
Last updated: January 15,2025
1. Install "tbb2020.3.i686" package
This is a short guide on how to install tbb2020.3.i686 on Fedora 39
$
sudo dnf update
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$
sudo dnf install
tbb2020.3.i686
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2. Uninstall "tbb2020.3.i686" package
Please follow the steps below to uninstall tbb2020.3.i686 on Fedora 39:
$
sudo dnf remove
tbb2020.3.i686
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$
sudo dnf autoremove
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3. Information about the tbb2020.3.i686 package on Fedora 39
Last metadata expiration check: 4:50:37 ago on Thu Mar 7 17:44:52 2024.
Available Packages
Name : tbb2020.3
Version : 2020.3
Release : 2.fc39
Architecture : i686
Size : 118 k
Source : tbb2020.3-2020.3-2.fc39.src.rpm
Repository : fedora
Summary : The Threading Building Blocks library abstracts low-level threading details
URL : http://threadingbuildingblocks.org/
License : Apache-2.0
Description : Threading Building Blocks (TBB) is a C++ runtime library that
: abstracts the low-level threading details necessary for optimal
: multi-core performance. It uses common C++ templates and coding style
: to eliminate tedious threading implementation work.
:
: TBB requires fewer lines of code to achieve parallelism than other
: threading models. The applications you write are portable across
: platforms. Since the library is also inherently scalable, no code
: maintenance is required as more processor cores become available.
Available Packages
Name : tbb2020.3
Version : 2020.3
Release : 2.fc39
Architecture : i686
Size : 118 k
Source : tbb2020.3-2020.3-2.fc39.src.rpm
Repository : fedora
Summary : The Threading Building Blocks library abstracts low-level threading details
URL : http://threadingbuildingblocks.org/
License : Apache-2.0
Description : Threading Building Blocks (TBB) is a C++ runtime library that
: abstracts the low-level threading details necessary for optimal
: multi-core performance. It uses common C++ templates and coding style
: to eliminate tedious threading implementation work.
:
: TBB requires fewer lines of code to achieve parallelism than other
: threading models. The applications you write are portable across
: platforms. Since the library is also inherently scalable, no code
: maintenance is required as more processor cores become available.