How to Install and Uninstall libtbb2 Package on openSUSE Leap
Last updated: January 11,2025
1. Install "libtbb2" package
Please follow the guidelines below to install libtbb2 on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
libtbb2
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2. Uninstall "libtbb2" package
This is a short guide on how to uninstall libtbb2 on openSUSE Leap:
$
sudo zypper remove
libtbb2
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3. Information about the libtbb2 package on openSUSE Leap
Information for package libtbb2:
--------------------------------
Repository : Main Repository
Name : libtbb2
Version : 2019_20190605-150200.3.2.1
Arch : x86_64
Vendor : SUSE LLC
Installed Size : 243.0 KiB
Installed : No
Status : not installed
Source package : tbb-2019_20190605-150200.3.2.1.src
Upstream URL : https://www.threadingbuildingblocks.org/
Summary : Threading Building Blocks (TBB)
Description :
Threading Building Blocks (TBB) offers a rich and complete approach to
expressing parallelism in a C++ program. It is a library that helps you take
advantage of multi-core processor performance without having to be a threading
expert. Threading Building Blocks is not just a threads-replacement library. It
represents a higher-level, task-based parallelism that abstracts platform
details and threading mechanism for performance and scalability.
--------------------------------
Repository : Main Repository
Name : libtbb2
Version : 2019_20190605-150200.3.2.1
Arch : x86_64
Vendor : SUSE LLC
Installed Size : 243.0 KiB
Installed : No
Status : not installed
Source package : tbb-2019_20190605-150200.3.2.1.src
Upstream URL : https://www.threadingbuildingblocks.org/
Summary : Threading Building Blocks (TBB)
Description :
Threading Building Blocks (TBB) offers a rich and complete approach to
expressing parallelism in a C++ program. It is a library that helps you take
advantage of multi-core processor performance without having to be a threading
expert. Threading Building Blocks is not just a threads-replacement library. It
represents a higher-level, task-based parallelism that abstracts platform
details and threading mechanism for performance and scalability.