How to Install and Uninstall libboost-graph-parallel1.74.0 Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 10,2024

1. Install "libboost-graph-parallel1.74.0" package

This guide covers the steps necessary to install libboost-graph-parallel1.74.0 on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install libboost-graph-parallel1.74.0

2. Uninstall "libboost-graph-parallel1.74.0" package

This tutorial shows how to uninstall libboost-graph-parallel1.74.0 on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove libboost-graph-parallel1.74.0 $ sudo apt autoclean && sudo apt autoremove

3. Information about the libboost-graph-parallel1.74.0 package on Ubuntu 21.10 (Impish Indri)

Package: libboost-graph-parallel1.74.0
Architecture: amd64
Version: 1.74.0-8ubuntu6
Priority: optional
Section: universe/libs
Source: boost1.74
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Boost Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 2189
Depends: libboost-mpi1.74.0 (>= 1.74.0), libboost-serialization1.74.0 (>= 1.74.0), libc6 (>= 2.14), libgcc-s1 (>= 3.3.1), libopenmpi3 (>= 4.1.0), libstdc++6 (>= 11)
Suggests: graphviz
Filename: pool/universe/b/boost1.74/libboost-graph-parallel1.74.0_1.74.0-8ubuntu6_amd64.deb
Size: 266100
MD5sum: 1e8e04dac85e02898f33cb797f9dc3a5
SHA1: 9c7477cf95672f14fb520654b3c7a9526c59968c
SHA256: 09784046d5cd8e4be6bc0f28236ffdaf073011e93ccd467e0e29c53f57ce371b
SHA512: 957c4d35cd948adc1bad9c5968916932a02da308e1831ec5a6ad3c4a77b61b52db5c7554f937d17a7939f9551797ebd9ec1d85afcb85718b511869a5ef8ce64b
Homepage: http://www.boost.org/libs/graph_parallel/
Description-en: generic graph components and algorithms in C++
This package forms part of the Boost C++ Libraries collection.
.
The Parallel Boost Graph Library is an extension to the Boost Graph Library
(BGL) for parallel and distributed computing. It offers distributed graphs
and graph algorithms to exploit coarse-grained parallelism along with
parallel algorithms that exploit fine-grained parallelism, while retaining
the same interfaces as the (sequential) BGL. Code written using the sequential
BGL should be easy to parallelize with the parallel BGL.
Description-md5: 4f57c2a6e2a339b83d9c59b83812e4c6