How to Install and Uninstall cube.x86_64 Package on Oracle Linux 9
Last updated: January 06,2025
1. Install "cube.x86_64" package
Please follow the instructions below to install cube.x86_64 on Oracle Linux 9
$
sudo dnf update
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$
sudo dnf install
cube.x86_64
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2. Uninstall "cube.x86_64" package
This guide covers the steps necessary to uninstall cube.x86_64 on Oracle Linux 9:
$
sudo dnf remove
cube.x86_64
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$
sudo dnf autoremove
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3. Information about the cube.x86_64 package on Oracle Linux 9
Last metadata expiration check: 3:19:12 ago on Thu Feb 15 07:50:05 2024.
Available Packages
Name : cube
Version : 4.7
Release : 2.el9
Architecture : x86_64
Size : 1.3 M
Source : cube-4.7-2.el9.src.rpm
Repository : epel
Summary : CUBE Uniform Behavioral Encoding generic presentation component
URL : http://www.scalasca.org/software/cube-4.x/download.html
License : BSD
Description : CUBE (CUBE Uniform Behavioral Encoding) is a generic presentation component
: suitable for displaying a wide variety of performance metrics for parallel
: programs including MPI and OpenMP applications. CUBE allows interactive
: exploration of a multidimensional performance space in a scalable fashion.
: Scalability is achieved in two ways: hierarchical decomposition of individual
: dimensions and aggregation across different dimensions. All performance
: metrics are uniformly accommodated in the same display and thus provide the
: ability to easily compare the effects of different kinds of performance
: behavior.
Available Packages
Name : cube
Version : 4.7
Release : 2.el9
Architecture : x86_64
Size : 1.3 M
Source : cube-4.7-2.el9.src.rpm
Repository : epel
Summary : CUBE Uniform Behavioral Encoding generic presentation component
URL : http://www.scalasca.org/software/cube-4.x/download.html
License : BSD
Description : CUBE (CUBE Uniform Behavioral Encoding) is a generic presentation component
: suitable for displaying a wide variety of performance metrics for parallel
: programs including MPI and OpenMP applications. CUBE allows interactive
: exploration of a multidimensional performance space in a scalable fashion.
: Scalability is achieved in two ways: hierarchical decomposition of individual
: dimensions and aggregation across different dimensions. All performance
: metrics are uniformly accommodated in the same display and thus provide the
: ability to easily compare the effects of different kinds of performance
: behavior.