How to Install and Uninstall libmkl-avx Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: May 07,2024

1. Install "libmkl-avx" package

Please follow the instructions below to install libmkl-avx on Ubuntu 21.04 (Hirsute Hippo)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libmkl-avx
            
                    
    
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2. Uninstall "libmkl-avx" package

Here is a brief guide to show you how to uninstall libmkl-avx on Ubuntu 21.04 (Hirsute Hippo):


    
        
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                sudo apt remove
            
                        
                libmkl-avx
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libmkl-avx package on Ubuntu 21.04 (Hirsute Hippo)

Package: libmkl-avx
Architecture: amd64
Version: 2020.4.304-2
Multi-Arch: same
Priority: optional
Section: multiverse/libs
Source: intel-mkl
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 51076
Depends: libc6 (>= 2.2.5), libmkl-locale (= 2020.4.304-2)
Filename: pool/multiverse/i/intel-mkl/libmkl-avx_2020.4.304-2_amd64.deb
Size: 12251264
MD5sum: f8ef6a349fe5677e2986ac2ff331e844
SHA1: 379dc8e21afebddd49c83688d3316cc6f46a2b02
SHA256: 2186280289d2f1e3aff797000ac5081a80cff075cba1182778d155ba619c1bc2
SHA512: dace70e609b41bc8b78c6c883374a0ab03d4255f77f72bbfc395493c697eb3d73f29137785d0d0f8331e7204f479592bec12d5446cf6480065b561d3a530dc81
Homepage: https://software.intel.com/en-us/mkl
Description-en: Intel® MKL: Kernel library for Intel® AVX enabled processors
Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly
optimized, extensively threaded routines for applications that require
maximum performance.
.
This package contains the Kernel library for Intel® Advanced Vector
Extensions (Intel® AVX) enabled processors.
It belongs to the Computational Layer of MKL.
Description-md5: 5620350ea104e3f8f8b19c8486f2fe9d