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

Last updated: November 22,2024

1. Install "libgloo-dev" package

Please follow the step by step instructions below to install libgloo-dev on Ubuntu 21.10 (Impish Indri)


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

Please follow the guidance below to uninstall libgloo-dev on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                libgloo-dev
            
                    
    
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            $
        

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

Package: libgloo-dev
Architecture: amd64
Version: 0.0~git20200918.3dc0328-4
Priority: optional
Section: universe/libdevel
Source: gloo
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Deep Learning Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 266
Depends: libgloo0 (= 0.0~git20200918.3dc0328-4), libhiredis-dev, libibverbs-dev
Filename: pool/universe/g/gloo/libgloo-dev_0.0~git20200918.3dc0328-4_amd64.deb
Size: 47448
MD5sum: 4c6a18d1b34df271729227afeaa7dd77
SHA1: acf9b640f491086fa957a9c2d4ea3608a2d49908
SHA256: bc4d686a2332603e3061be99a276ce95337f4681ff93becc7e5777343a2ca4ad
SHA512: d0f024ca670f6336a205bd1fdb1c2143d3137711b3b8a498d2c9794a0f3e906838c3190fc2d104b3fe659907772724f93e3223b83e1e90bbff78da351f17490e
Homepage: https://github.com/facebookincubator/gloo
Description-en: Collective communications library (development files)
Gloo is a collective communications library. It comes with a number of
collective algorithms useful for machine learning applications. These
include a barrier, broadcast, and allreduce.
.
Transport of data between participating machines is abstracted so that
IP can be used at all times, or InifiniBand (or RoCE) when available.
In the latter case, if the InfiniBand transport is used, GPUDirect can
be used to accelerate cross machine GPU-to-GPU memory transfers.
.
Where applicable, algorithms have an implementation that works with system
memory buffers, and one that works with NVIDIA GPU memory buffers. In the
latter case, it is not necessary to copy memory between host and device;
this is taken care of by the algorithm implementations.
.
This package ships the development files.
Description-md5: 1eb5d67397fdb9a8162c5c082d1e6d78