How to Install and Uninstall ga-mpich.x86_64 Package on Fedora 34
Last updated: November 28,2024
1. Install "ga-mpich.x86_64" package
Please follow the steps below to install ga-mpich.x86_64 on Fedora 34
$
sudo dnf update
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$
sudo dnf install
ga-mpich.x86_64
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2. Uninstall "ga-mpich.x86_64" package
This guide let you learn how to uninstall ga-mpich.x86_64 on Fedora 34:
$
sudo dnf remove
ga-mpich.x86_64
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$
sudo dnf autoremove
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3. Information about the ga-mpich.x86_64 package on Fedora 34
Last metadata expiration check: 0:01:08 ago on Tue Sep 6 14:10:38 2022.
Available Packages
Name : ga-mpich
Version : 5.7.2
Release : 6.fc34
Architecture : x86_64
Size : 1.5 M
Source : ga-5.7.2-6.fc34.src.rpm
Repository : fedora
Summary : Global Arrays Toolkit for MPICH
URL : http://github.com/GlobalArrays/ga
License : BSD
Description :
: The Global Arrays (GA) toolkit provides an efficient and portable
: "shared-memory" programming interface for distributed-memory
: computers. Each process in a MIMD parallel program can asynchronously
: access logical blocks of physically distributed dense multi-
: dimensional arrays, without need for explicit cooperation by other
: processes. Unlike other shared-memory environments, the GA model
: exposes to the programmer the non-uniform memory access (NUMA)
: characteristics of the high performance computers and acknowledges
: that access to a remote portion of the shared data is slower than to
: the local portion. The locality information for the shared data is
: available, and a direct access to the local portions of shared data
: is provided.
: - Libraries against MPICH.
Available Packages
Name : ga-mpich
Version : 5.7.2
Release : 6.fc34
Architecture : x86_64
Size : 1.5 M
Source : ga-5.7.2-6.fc34.src.rpm
Repository : fedora
Summary : Global Arrays Toolkit for MPICH
URL : http://github.com/GlobalArrays/ga
License : BSD
Description :
: The Global Arrays (GA) toolkit provides an efficient and portable
: "shared-memory" programming interface for distributed-memory
: computers. Each process in a MIMD parallel program can asynchronously
: access logical blocks of physically distributed dense multi-
: dimensional arrays, without need for explicit cooperation by other
: processes. Unlike other shared-memory environments, the GA model
: exposes to the programmer the non-uniform memory access (NUMA)
: characteristics of the high performance computers and acknowledges
: that access to a remote portion of the shared data is slower than to
: the local portion. The locality information for the shared data is
: available, and a direct access to the local portions of shared data
: is provided.
: - Libraries against MPICH.