How to Install and Uninstall blis-threads.x86_64 Package on Red Hat Enterprise Linux 9 (RHEL 9)

Last updated: November 28,2024

1. Install "blis-threads.x86_64" package

Here is a brief guide to show you how to install blis-threads.x86_64 on Red Hat Enterprise Linux 9 (RHEL 9)


    
        
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                sudo dnf update
            
                    
    
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                sudo dnf install
            
                        
                blis-threads.x86_64
            
                    
    
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2. Uninstall "blis-threads.x86_64" package

Learn how to uninstall blis-threads.x86_64 on Red Hat Enterprise Linux 9 (RHEL 9):


    
        
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                sudo dnf remove
            
                        
                blis-threads.x86_64
            
                    
    
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            $
        

        
            
                sudo dnf autoremove
            
                    
    
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3. Information about the blis-threads.x86_64 package on Red Hat Enterprise Linux 9 (RHEL 9)

Last metadata expiration check: 1:03:00 ago on Mon Feb 26 07:04:30 2024.
Available Packages
Name : blis-threads
Version : 0.9.0
Release : 1.el9
Architecture : x86_64
Size : 1.8 M
Source : blis-0.9.0-1.el9.src.rpm
Repository : epel
Summary : BLAS-like Library Instantiation Software Framework - pthreads
URL : https://github.com/flame/blis
License : BSD-3-Clause
Description :
: BLIS is a portable software framework for instantiating
: high-performance BLAS-like dense linear algebra libraries. The
: framework was designed to isolate essential kernels of computation
: that, when optimized, immediately enable optimized implementations of
: most of its commonly used and computationally intensive operations.
: While BLIS exports a new BLAS-like API, it also includes a BLAS
: compatibility layer which gives application developers access to BLIS
: implementations via traditional BLAS routine calls.
:
: This packaging contains automatically-dispatched
: architecture-optimized kernels for some targets, notably recent x86_64.
:
: This is the pthreads-parallelized version.