How to Install and Uninstall scalasca.i686 Package on Fedora 36

Last updated: October 12,2024

1. Install "scalasca.i686" package

This guide covers the steps necessary to install scalasca.i686 on Fedora 36


    
        
            $
        

        
            
                sudo dnf update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf install
            
                        
                scalasca.i686
            
                    
    
    Copied

2. Uninstall "scalasca.i686" package

In this section, we are going to explain the necessary steps to uninstall scalasca.i686 on Fedora 36:


    
        
            $
        

        
            
                sudo dnf remove
            
                        
                scalasca.i686
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the scalasca.i686 package on Fedora 36

Last metadata expiration check: 4:01:59 ago on Thu Sep 8 08:04:50 2022.
Available Packages
Name : scalasca
Version : 2.6
Release : 3.fc36
Architecture : i686
Size : 507 k
Source : scalasca-2.6-3.fc36.src.rpm
Repository : fedora
Summary : Toolset for performance analysis of large-scale parallel applications
URL : http://www.scalasca.org/
License : BSD and GPLv3+
Description :
: Scalasca is a software tool that supports the performance optimization
: of parallel programs by measuring and analyzing their runtime
: behavior. The analysis identifies potential performance bottlenecks –
: in particular those concerning communication and synchronization – and
: offers guidance in exploring their causes.
:
: Scalasca targets mainly scientific and engineering applications based
: on the programming interfaces MPI and OpenMP, including hybrid
: applications based on a combination of the two. The tool has been
: specifically designed for use on large-scale systems, but is also well
: suited for small- and medium-scale HPC platforms.