How to Install and Uninstall clblast.x86_64 Package on CentOS Stream 9
Last updated: November 25,2024
1. Install "clblast.x86_64" package
Please follow the instructions below to install clblast.x86_64 on CentOS Stream 9
$
sudo dnf update
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$
sudo dnf install
clblast.x86_64
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2. Uninstall "clblast.x86_64" package
This is a short guide on how to uninstall clblast.x86_64 on CentOS Stream 9:
$
sudo dnf remove
clblast.x86_64
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$
sudo dnf autoremove
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3. Information about the clblast.x86_64 package on CentOS Stream 9
Last metadata expiration check: 2:26:30 ago on Sat Mar 16 16:03:45 2024.
Available Packages
Name : clblast
Version : 1.5.3
Release : 2.el9
Architecture : x86_64
Size : 681 k
Source : clblast-1.5.3-2.el9.src.rpm
Repository : epel
Summary : Tuned OpenCL BLAS routines
URL : https://cnugteren.github.io/clblast/clblast.html
License : Apache-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 : 1.5.3
Release : 2.el9
Architecture : x86_64
Size : 681 k
Source : clblast-1.5.3-2.el9.src.rpm
Repository : epel
Summary : Tuned OpenCL BLAS routines
URL : https://cnugteren.github.io/clblast/clblast.html
License : Apache-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.