How to Install and Uninstall scalasca.x86_64 Package on CentOS Stream 9

Last updated: November 16,2024

1. Install "scalasca.x86_64" package

Here is a brief guide to show you how to install scalasca.x86_64 on CentOS Stream 9


    
        
            $
        

        
            
                sudo dnf update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf install
            
                        
                scalasca.x86_64
            
                    
    
    Copied

2. Uninstall "scalasca.x86_64" package

Here is a brief guide to show you how to uninstall scalasca.x86_64 on CentOS Stream 9:


    
        
            $
        

        
            
                sudo dnf remove
            
                        
                scalasca.x86_64
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the scalasca.x86_64 package on CentOS Stream 9

Last metadata expiration check: 3:03:32 ago on Sat Mar 16 16:03:45 2024.
Available Packages
Name : scalasca
Version : 2.6
Release : 3.el9
Architecture : x86_64
Size : 463 k
Source : scalasca-2.6-3.el9.src.rpm
Repository : epel
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.