How to Install and Uninstall libxsmm.x86_64 Package on Fedora 34

Last updated: November 15,2024

1. Install "libxsmm.x86_64" package

Here is a brief guide to show you how to install libxsmm.x86_64 on Fedora 34


    
        
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                sudo dnf update
            
                    
    
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                sudo dnf install
            
                        
                libxsmm.x86_64
            
                    
    
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2. Uninstall "libxsmm.x86_64" package

Here is a brief guide to show you how to uninstall libxsmm.x86_64 on Fedora 34:


    
        
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                sudo dnf remove
            
                        
                libxsmm.x86_64
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the libxsmm.x86_64 package on Fedora 34

Last metadata expiration check: 2:15:41 ago on Tue Sep 6 08:10:37 2022.
Available Packages
Name : libxsmm
Version : 1.16
Release : 4.fc34
Architecture : x86_64
Size : 1.6 M
Source : libxsmm-1.16-4.fc34.src.rpm
Repository : fedora
Summary : Small dense or sparse matrix multiplications and convolutions for x86_64
URL : https://github.com/hfp/libxsmm
License : BSD
Description : LIBXSMM is a library for small dense and small sparse matrix-matrix
: multiplications, as well as for deep learning primitives such as small
: convolutions targeting Intel Architecture (x86). The library
: generates code for the following instruction set extensions: Intel
: SSE, Intel AVX, Intel AVX2, IMCI (KNCni) for Intel Xeon Phi
: coprocessors ("KNC"), and Intel AVX‑512 as found in the Intel Xeon Phi
: processor family ("KNL") and future Intel Xeon processors. Small
: convolutions are currently only optimized for Intel AVX‑512.
: Historically the library was solely targeting the Intel Many
: Integrated Core Architecture "MIC") using intrinsic functions.
: Currently, optimized assembly code targets all aforementioned
: instruction set extensions (static code generation), and Just‑In‑Time
: (JIT) code generation targets Intel AVX and beyond.