How to Install and Uninstall libboost-graph-parallel1.74.0 Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: May 21,2024

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

In this section, we are going to explain the necessary steps to install libboost-graph-parallel1.74.0 on Ubuntu 21.04 (Hirsute Hippo)

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

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

Please follow the step by step instructions below to uninstall libboost-graph-parallel1.74.0 on Ubuntu 21.04 (Hirsute Hippo):

$ 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 21.04 (Hirsute Hippo)

Package: libboost-graph-parallel1.74.0
Architecture: amd64
Version: 1.74.0-8ubuntu2
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: 2236
Depends: libboost-mpi1.74.0 (>= 1.74.0), libboost-serialization1.74.0 (>= 1.74.0), libc6 (>= 2.14), libgcc-s1 (>= 3.0), libopenmpi3 (>= 4.1.0), libstdc++6 (>= 5.2)
Suggests: graphviz
Filename: pool/universe/b/boost1.74/libboost-graph-parallel1.74.0_1.74.0-8ubuntu2_amd64.deb
Size: 261516
MD5sum: 33373e214d76cd0c61768ddeb072df82
SHA1: 81fc68a3cbd3157ccf4d4a9db54dbee3577c1a79
SHA256: 29313749bb72da1ae876c7d70aed438cd6465f8ba2e6fd2d64767e9ea75870a4
SHA512: 616cb33e55381435312f46bde35657f6ac16f69f80610659d35f87a09e01b71e4f3c2f8590893e4e0501283a4c30e135e908cc309b0965604b66db3c11a30afa
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