How to Install and Uninstall libboost-graph-parallel1.71.0 Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: May 17,2024

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

Please follow the guidelines below to install libboost-graph-parallel1.71.0 on Ubuntu 21.04 (Hirsute Hippo)

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

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

Please follow the guidance below to uninstall libboost-graph-parallel1.71.0 on Ubuntu 21.04 (Hirsute Hippo):

$ 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 21.04 (Hirsute Hippo)

Package: libboost-graph-parallel1.71.0
Architecture: amd64
Version: 1.71.0-6ubuntu11
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 (>= 4.0.5), libstdc++6 (>= 5.2)
Suggests: graphviz
Filename: pool/universe/b/boost1.71/libboost-graph-parallel1.71.0_1.71.0-6ubuntu11_amd64.deb
Size: 267964
MD5sum: e37c07f419956db0e789374250443fe0
SHA1: 234f022946c8117c9fe1182a9f04f100da3f827c
SHA256: e10988e7a1e0c49bd7128cf022e307de8c75e03998045f7ad8f09c31627ca44d
SHA512: 2c437420978778d230984c76202b2904154378eca4b2aa76560816cd00cdca3a78a33fc77c36b476c2d716126adbac46d3836cffa270fc34e892fbdbc8e051e3
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