How to Install and Uninstall tbb.x86_64 Package on Rocky Linux 8
Last updated: November 14,2024
1. Install "tbb.x86_64" package
Please follow the steps below to install tbb.x86_64 on Rocky Linux 8
$
sudo dnf update
Copied
$
sudo dnf install
tbb.x86_64
Copied
2. Uninstall "tbb.x86_64" package
Please follow the guidance below to uninstall tbb.x86_64 on Rocky Linux 8:
$
sudo dnf remove
tbb.x86_64
Copied
$
sudo dnf autoremove
Copied
3. Information about the tbb.x86_64 package on Rocky Linux 8
Last metadata expiration check: 2:17:00 ago on Mon Sep 12 10:27:18 2022.
Available Packages
Name : tbb
Version : 2018.2
Release : 9.el8
Architecture : x86_64
Size : 158 k
Source : tbb-2018.2-9.el8.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 : 2018.2
Release : 9.el8
Architecture : x86_64
Size : 158 k
Source : tbb-2018.2-9.el8.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.