How to Install and Uninstall libgloo0 Package on Kali Linux
Last updated: February 02,2025
1. Install "libgloo0" package
This is a short guide on how to install libgloo0 on Kali Linux
$
sudo apt update
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$
sudo apt install
libgloo0
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2. Uninstall "libgloo0" package
Here is a brief guide to show you how to uninstall libgloo0 on Kali Linux:
$
sudo apt remove
libgloo0
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the libgloo0 package on Kali Linux
Package: libgloo0
Source: gloo (0.0~git20230519.597accf-2)
Version: 0.0~git20230519.597accf-2+b1
Installed-Size: 780
Maintainer: Debian Deep Learning Team
Architecture: amd64
Replaces: libgloo-cuda-0
Depends: libc6 (>= 2.34), libgcc-s1 (>= 3.0), libhiredis1.1.0 (>= 1.2.0), libibverbs1 (>= 1.1.6), libopenmpi3 (>= 4.1.6), libstdc++6 (>= 13.1)
Conflicts: libgloo-cuda-0
Size: 210320
SHA256: c0852303cb24bd311c3523e9ab8e4f05d36b5dc6d4e5e62174e1223a44bd40c8
SHA1: 962149607719f5418aabeb1a59aad8a8bb94f26a
MD5sum: ad962becdaaa892f89e5824c6f34f4e4
Description: Collective communications library (shared object)
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 shared object for Gloo.
Description-md5:
Homepage: https://github.com/facebookincubator/gloo
Tag: role::shared-lib
Section: libs
Priority: optional
Filename: pool/main/g/gloo/libgloo0_0.0~git20230519.597accf-2+b1_amd64.deb
Source: gloo (0.0~git20230519.597accf-2)
Version: 0.0~git20230519.597accf-2+b1
Installed-Size: 780
Maintainer: Debian Deep Learning Team
Architecture: amd64
Replaces: libgloo-cuda-0
Depends: libc6 (>= 2.34), libgcc-s1 (>= 3.0), libhiredis1.1.0 (>= 1.2.0), libibverbs1 (>= 1.1.6), libopenmpi3 (>= 4.1.6), libstdc++6 (>= 13.1)
Conflicts: libgloo-cuda-0
Size: 210320
SHA256: c0852303cb24bd311c3523e9ab8e4f05d36b5dc6d4e5e62174e1223a44bd40c8
SHA1: 962149607719f5418aabeb1a59aad8a8bb94f26a
MD5sum: ad962becdaaa892f89e5824c6f34f4e4
Description: Collective communications library (shared object)
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 shared object for Gloo.
Description-md5:
Homepage: https://github.com/facebookincubator/gloo
Tag: role::shared-lib
Section: libs
Priority: optional
Filename: pool/main/g/gloo/libgloo0_0.0~git20230519.597accf-2+b1_amd64.deb