How to Install and Uninstall nest-mpich-headers.x86_64 Package on Fedora 34
Last updated: February 08,2025
1. Install "nest-mpich-headers.x86_64" package
Please follow the instructions below to install nest-mpich-headers.x86_64 on Fedora 34
$
sudo dnf update
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$
sudo dnf install
nest-mpich-headers.x86_64
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2. Uninstall "nest-mpich-headers.x86_64" package
In this section, we are going to explain the necessary steps to uninstall nest-mpich-headers.x86_64 on Fedora 34:
$
sudo dnf remove
nest-mpich-headers.x86_64
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$
sudo dnf autoremove
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3. Information about the nest-mpich-headers.x86_64 package on Fedora 34
Last metadata expiration check: 2:42:18 ago on Tue Sep 6 08:10:37 2022.
Available Packages
Name : nest-mpich-headers
Version : 2.20.1
Release : 7.fc34
Architecture : x86_64
Size : 370 k
Source : nest-2.20.1-7.fc34.src.rpm
Repository : fedora
Summary : Header files for nest built with mpich support
URL : http://www.nest-simulator.org/
License : GPLv2+
Description : NEST is a simulator for spiking neural network models that focuses on the
: dynamics, size and structure of neural systems rather than on the exact
: morphology of individual neurons. The development of NEST is coordinated by the
: NEST Initiative. NEST is ideal for networks of spiking neurons of any size,
: for example: Models of information processing e.g. in the visual or auditory
: cortex of mammals; Models of network activity dynamics, e.g. laminar cortical
: networks or balanced random networks; Models of learning and plasticity.
: Please read the README-Fedora.md file provided in each package for information
: on how these NEST packages are to be used.
:
: Documentation is available separately in the nest-doc package.
Available Packages
Name : nest-mpich-headers
Version : 2.20.1
Release : 7.fc34
Architecture : x86_64
Size : 370 k
Source : nest-2.20.1-7.fc34.src.rpm
Repository : fedora
Summary : Header files for nest built with mpich support
URL : http://www.nest-simulator.org/
License : GPLv2+
Description : NEST is a simulator for spiking neural network models that focuses on the
: dynamics, size and structure of neural systems rather than on the exact
: morphology of individual neurons. The development of NEST is coordinated by the
: NEST Initiative. NEST is ideal for networks of spiking neurons of any size,
: for example: Models of information processing e.g. in the visual or auditory
: cortex of mammals; Models of network activity dynamics, e.g. laminar cortical
: networks or balanced random networks; Models of learning and plasticity.
: Please read the README-Fedora.md file provided in each package for information
: on how these NEST packages are to be used.
:
: Documentation is available separately in the nest-doc package.