How to Install and Uninstall liboil Package on openSuSE Tumbleweed
Last updated: November 07,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "liboil" package
This guide let you learn how to install liboil on openSuSE Tumbleweed
$
sudo zypper refresh
Copied
$
sudo zypper install
liboil
Copied
2. Uninstall "liboil" package
In this section, we are going to explain the necessary steps to uninstall liboil on openSuSE Tumbleweed:
$
sudo zypper remove
liboil
Copied
3. Information about the liboil package on openSuSE Tumbleweed
Information for package liboil:
-------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : liboil
Version : 0.3.17-25.18
Arch : x86_64
Vendor : openSUSE
Installed Size : 562,3 KiB
Installed : No
Status : not installed
Source package : liboil-0.3.17-25.18.src
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 : openSUSE-Tumbleweed-Oss
Name : liboil
Version : 0.3.17-25.18
Arch : x86_64
Vendor : openSUSE
Installed Size : 562,3 KiB
Installed : No
Status : not installed
Source package : liboil-0.3.17-25.18.src
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.