How to Install and Uninstall tbb.i686 Package on AlmaLinux 9
Last updated: November 25,2024
1. Install "tbb.i686" package
Here is a brief guide to show you how to install tbb.i686 on AlmaLinux 9
$
sudo dnf update
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$
sudo dnf install
tbb.i686
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2. Uninstall "tbb.i686" package
Please follow the step by step instructions below to uninstall tbb.i686 on AlmaLinux 9:
$
sudo dnf remove
tbb.i686
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$
sudo dnf autoremove
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3. Information about the tbb.i686 package on AlmaLinux 9
Last metadata expiration check: 2:04:18 ago on Wed Mar 13 07:41:12 2024.
Available Packages
Name : tbb
Version : 2020.3
Release : 8.el9
Architecture : i686
Size : 175 k
Source : tbb-2020.3-8.el9.src.rpm
Repository : appstream
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 : 8.el9
Architecture : i686
Size : 175 k
Source : tbb-2020.3-8.el9.src.rpm
Repository : appstream
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.