How to Install and Uninstall libboost-graph-parallel1.71.0 Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: February 02,2025

1. Install "libboost-graph-parallel1.71.0" package

This guide let you learn how to install libboost-graph-parallel1.71.0 on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install libboost-graph-parallel1.71.0

2. Uninstall "libboost-graph-parallel1.71.0" package

This guide let you learn how to uninstall libboost-graph-parallel1.71.0 on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove libboost-graph-parallel1.71.0 $ sudo apt autoclean && sudo apt autoremove

3. Information about the libboost-graph-parallel1.71.0 package on Ubuntu 20.10 (Groovy Gorilla)

Package: libboost-graph-parallel1.71.0
Architecture: amd64
Version: 1.71.0-6ubuntu9
Priority: optional
Section: universe/libs
Source: boost1.71
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Boost Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 2234
Depends: libboost-mpi1.71.0, libboost-serialization1.71.0, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libopenmpi3 (>= 4.0.3), libstdc++6 (>= 5.2)
Suggests: graphviz
Filename: pool/universe/b/boost1.71/libboost-graph-parallel1.71.0_1.71.0-6ubuntu9_amd64.deb
Size: 268044
MD5sum: a0f60199b6790cd9d514e56e86ac19e4
SHA1: cd73940c82d6b6acdd7a09d13e64a9e849633f71
SHA256: a2360cce5b800bf8c4fb1edccd3f79b43482fd0826455deef09fe4e407608b6e
SHA512: 85d60c430ba6fe1df6a7df53c08212b9f79c71ed487d0738dca051c222ec4a239fa74d059b8429ec67916b38f6f85e75d6b206cef07961df54d4b08e5596e92a
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