How to Install and Uninstall clblast.i686 Package on Fedora 36
Last updated: July 02,2024
1. Install "clblast.i686" package
Learn how to install clblast.i686 on Fedora 36
$
sudo dnf update
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$
sudo dnf install
clblast.i686
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2. Uninstall "clblast.i686" package
Please follow the step by step instructions below to uninstall clblast.i686 on Fedora 36:
$
sudo dnf remove
clblast.i686
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$
sudo dnf autoremove
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3. Information about the clblast.i686 package on Fedora 36
Last metadata expiration check: 0:37:25 ago on Thu Sep 8 02:05:26 2022.
Available Packages
Name : clblast
Version : 1.5.2
Release : 4.fc36
Architecture : i686
Size : 784 k
Source : clblast-1.5.2-4.fc36.src.rpm
Repository : fedora
Summary : Tuned OpenCL BLAS routines
URL : https://cnugteren.github.io/clblast/clblast.html
License : ASL 2.0
Description : CLBlast is a modern, lightweight, performant and tunable OpenCL BLAS
: library written in C++11. It is designed to leverage the full
: performance potential of a wide variety of OpenCL devices from different
: vendors, including desktop and laptop GPUs, embedded GPUs, and other
: accelerators. CLBlast implements BLAS routines: basic linear algebra
: subprograms operating on vectors and matrices. See the CLBlast website
: for performance reports on various devices as well as the latest CLBlast
: news.
:
: The library is not tuned for all possible OpenCL devices: if
: out-of-the-box performance is poor, please run the tuners first.
Available Packages
Name : clblast
Version : 1.5.2
Release : 4.fc36
Architecture : i686
Size : 784 k
Source : clblast-1.5.2-4.fc36.src.rpm
Repository : fedora
Summary : Tuned OpenCL BLAS routines
URL : https://cnugteren.github.io/clblast/clblast.html
License : ASL 2.0
Description : CLBlast is a modern, lightweight, performant and tunable OpenCL BLAS
: library written in C++11. It is designed to leverage the full
: performance potential of a wide variety of OpenCL devices from different
: vendors, including desktop and laptop GPUs, embedded GPUs, and other
: accelerators. CLBlast implements BLAS routines: basic linear algebra
: subprograms operating on vectors and matrices. See the CLBlast website
: for performance reports on various devices as well as the latest CLBlast
: news.
:
: The library is not tuned for all possible OpenCL devices: if
: out-of-the-box performance is poor, please run the tuners first.