How to Install and Uninstall tbb.i686 Package on Fedora 38
Last updated: November 24,2024
1. Install "tbb.i686" package
This guide let you learn how to install tbb.i686 on Fedora 38
$
sudo dnf update
Copied
$
sudo dnf install
tbb.i686
Copied
2. Uninstall "tbb.i686" package
Learn how to uninstall tbb.i686 on Fedora 38:
$
sudo dnf remove
tbb.i686
Copied
$
sudo dnf autoremove
Copied
3. Information about the tbb.i686 package on Fedora 38
Last metadata expiration check: 2:15:43 ago on Sat Mar 16 16:59:57 2024.
Available Packages
Name : tbb
Version : 2020.3
Release : 16.fc38
Architecture : i686
Size : 177 k
Source : tbb-2020.3-16.fc38.src.rpm
Repository : fedora
Summary : The Threading Building Blocks library abstracts low-level threading details
URL : http://threadingbuildingblocks.org/
License : ASL 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 : tbb
Version : 2020.3
Release : 16.fc38
Architecture : i686
Size : 177 k
Source : tbb-2020.3-16.fc38.src.rpm
Repository : fedora
Summary : The Threading Building Blocks library abstracts low-level threading details
URL : http://threadingbuildingblocks.org/
License : ASL 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.