How to Install and Uninstall libgemmlowp-dev Package on Ubuntu 21.10 (Impish Indri)

Last updated: November 22,2024

1. Install "libgemmlowp-dev" package

Here is a brief guide to show you how to install libgemmlowp-dev on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libgemmlowp-dev
            
                    
    
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2. Uninstall "libgemmlowp-dev" package

Here is a brief guide to show you how to uninstall libgemmlowp-dev on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                libgemmlowp-dev
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libgemmlowp-dev package on Ubuntu 21.10 (Impish Indri)

Package: libgemmlowp-dev
Architecture: amd64
Version: 0.0~git20200506.fda83bd-1
Multi-Arch: foreign
Priority: optional
Section: universe/libdevel
Source: gemmlowp
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 4862
Filename: pool/universe/g/gemmlowp/libgemmlowp-dev_0.0~git20200506.fda83bd-1_amd64.deb
Size: 519568
MD5sum: bf1b07890d277064697b0aadac1ae589
SHA1: 86ed26ca96b1cdc9ae6d66e2483247c559237dba
SHA256: f2df926a883ce632e54af42162ef0bbadaf69446ce96f9ef78049cd3f11a4973
SHA512: bc67b3c36fe5a895d5377d7c56df9541a993c1349e8cb2a3da21bac5f7aabe98452dc3f4a94f2a84b3600a39ad6a04a9e1137e979e50a42fdd09dc92516daaa7
Homepage: https://github.com/google/gemmlowp
Description-en: small self-contained low-precision GEMM library
This is not a full linear algebra library, only a GEMM library: it only does
general matrix multiplication ("GEMM").
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Its performance goals differ from typical GEMM performance goals in the
following ways:
1. It cares not only about speed, but also about minimizing power usage.
It specifically cares about charge usage in mobile/embedded devices.
2. Most GEMMs are optimized primarily for large dense matrix sizes (>= 1000).
It does care about large sizes, but it also cares specifically about the
typically smaller matrix sizes encountered in various mobile applications.
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Keep in mind (previous section) that gemmlowp itself is a pure-headers-only
library.
Description-md5: 013a4990be166142d09f153cf6b842b1