How to Install and Uninstall gromacs-mpich.x86_64 Package on Fedora 35
Last updated: January 13,2025
1. Install "gromacs-mpich.x86_64" package
This is a short guide on how to install gromacs-mpich.x86_64 on Fedora 35
$
sudo dnf update
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$
sudo dnf install
gromacs-mpich.x86_64
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2. Uninstall "gromacs-mpich.x86_64" package
Please follow the step by step instructions below to uninstall gromacs-mpich.x86_64 on Fedora 35:
$
sudo dnf remove
gromacs-mpich.x86_64
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$
sudo dnf autoremove
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3. Information about the gromacs-mpich.x86_64 package on Fedora 35
Last metadata expiration check: 2:08:21 ago on Wed Sep 7 02:25:42 2022.
Available Packages
Name : gromacs-mpich
Version : 2019.6
Release : 10.fc35
Architecture : x86_64
Size : 7.8 M
Source : gromacs-2019.6-10.fc35.src.rpm
Repository : fedora
Summary : GROMACS MPICH binaries and libraries
URL : http://www.gromacs.org
License : GPLv2+
Description : GROMACS is a versatile and extremely well optimized package to perform
: molecular dynamics computer simulations and subsequent trajectory analysis.
: It is developed for bio-molecules like proteins, but the extremely high
: performance means it is used also in several other field like polymer chemistry
: and solid state physics.
:
: mdrun has been compiled with thread parallellization (for running on
: a single node) and with MPICH (for running on multiple nodes).
: This package single and double precision binaries and libraries.
Available Packages
Name : gromacs-mpich
Version : 2019.6
Release : 10.fc35
Architecture : x86_64
Size : 7.8 M
Source : gromacs-2019.6-10.fc35.src.rpm
Repository : fedora
Summary : GROMACS MPICH binaries and libraries
URL : http://www.gromacs.org
License : GPLv2+
Description : GROMACS is a versatile and extremely well optimized package to perform
: molecular dynamics computer simulations and subsequent trajectory analysis.
: It is developed for bio-molecules like proteins, but the extremely high
: performance means it is used also in several other field like polymer chemistry
: and solid state physics.
:
: mdrun has been compiled with thread parallellization (for running on
: a single node) and with MPICH (for running on multiple nodes).
: This package single and double precision binaries and libraries.