How to Install and Uninstall liboil-devel Package on openSUSE Leap
Last updated: November 07,2024
1. Install "liboil-devel" package
This tutorial shows how to install liboil-devel on openSUSE Leap
$
sudo zypper refresh
Copied
$
sudo zypper install
liboil-devel
Copied
2. Uninstall "liboil-devel" package
Please follow the steps below to uninstall liboil-devel on openSUSE Leap:
$
sudo zypper remove
liboil-devel
Copied
3. Information about the liboil-devel package on openSUSE Leap
Information for package liboil-devel:
-------------------------------------
Repository : Main Repository
Name : liboil-devel
Version : 0.3.17-2.15
Arch : x86_64
Vendor : SUSE LLC
Installed Size : 193.0 KiB
Installed : No
Status : not installed
Source package : liboil-0.3.17-2.15.src
Upstream URL : http://liboil.freedesktop.org/wiki/
Summary : Library of Optimized Inner Loops
Description :
Liboil is a library of simple functions that are optimized for various
CPUs. These functions are generally loops implementing simple
algorithms, such as converting an array of N integers to floating-point
numbers or multiplying and summing an array of N numbers. Such
functions are candidates for significant optimization using various
techniques, especially by using extended instructions provided by
modern CPUs (Altivec, MMX, SSE, etc.).
Many multimedia applications and libraries already do similar things
internally. The goal of this project is to consolidate some of the code
used by various multimedia projects, and also make optimizations easier
to use by a broader range of applications.
-------------------------------------
Repository : Main Repository
Name : liboil-devel
Version : 0.3.17-2.15
Arch : x86_64
Vendor : SUSE LLC
Installed Size : 193.0 KiB
Installed : No
Status : not installed
Source package : liboil-0.3.17-2.15.src
Upstream URL : http://liboil.freedesktop.org/wiki/
Summary : Library of Optimized Inner Loops
Description :
Liboil is a library of simple functions that are optimized for various
CPUs. These functions are generally loops implementing simple
algorithms, such as converting an array of N integers to floating-point
numbers or multiplying and summing an array of N numbers. Such
functions are candidates for significant optimization using various
techniques, especially by using extended instructions provided by
modern CPUs (Altivec, MMX, SSE, etc.).
Many multimedia applications and libraries already do similar things
internally. The goal of this project is to consolidate some of the code
used by various multimedia projects, and also make optimizations easier
to use by a broader range of applications.