How to Install and Uninstall ga-common.noarch Package on Fedora 38
Last updated: November 30,2024
1. Install "ga-common.noarch" package
This is a short guide on how to install ga-common.noarch on Fedora 38
$
sudo dnf update
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$
sudo dnf install
ga-common.noarch
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2. Uninstall "ga-common.noarch" package
Please follow the steps below to uninstall ga-common.noarch on Fedora 38:
$
sudo dnf remove
ga-common.noarch
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$
sudo dnf autoremove
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3. Information about the ga-common.noarch package on Fedora 38
Last metadata expiration check: 3:36:02 ago on Sat Mar 16 22:59:57 2024.
Available Packages
Name : ga-common
Version : 5.7.2
Release : 13.fc38
Architecture : noarch
Size : 25 k
Source : ga-5.7.2-13.fc38.src.rpm
Repository : fedora
Summary : Global Arrays Common Files
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.
: - Global Arrays Common Files.
Available Packages
Name : ga-common
Version : 5.7.2
Release : 13.fc38
Architecture : noarch
Size : 25 k
Source : ga-5.7.2-13.fc38.src.rpm
Repository : fedora
Summary : Global Arrays Common Files
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.
: - Global Arrays Common Files.