How to Install and Uninstall root-roofit-batchcompute.x86_64 Package on Fedora 35

Last updated: November 30,2024

1. Install "root-roofit-batchcompute.x86_64" package

Learn how to install root-roofit-batchcompute.x86_64 on Fedora 35


    
        
            $
        

        
            
                sudo dnf update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf install
            
                        
                root-roofit-batchcompute.x86_64
            
                    
    
    Copied

2. Uninstall "root-roofit-batchcompute.x86_64" package

Please follow the steps below to uninstall root-roofit-batchcompute.x86_64 on Fedora 35:


    
        
            $
        

        
            
                sudo dnf remove
            
                        
                root-roofit-batchcompute.x86_64
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the root-roofit-batchcompute.x86_64 package on Fedora 35

Last metadata expiration check: 2:48:49 ago on Wed Sep 7 08:25:01 2022.
Available Packages
Name : root-roofit-batchcompute
Version : 6.26.06
Release : 1.fc35
Architecture : x86_64
Size : 101 k
Source : root-6.26.06-1.fc35.src.rpm
Repository : updates
Summary : Optimized computation functions for PDFs
URL : https://root.cern/
License : LGPLv2+
Description : While fitting, a significant amount of time and processing power is
: spent on computing the probability function for every event and PDF
: involved in the fitting model. To speed up this process, roofit can
: use the computation functions provided in this library. The functions
: provided here process whole data arrays (batches) instead of a single
: event at a time, as in the legacy evaluate() function in roofit. In
: addition, the code is written in a manner that allows for compiler
: optimizations, notably auto-vectorization. This library is compiled
: multiple times for different vector instuction set architectures and
: the optimal code is executed during runtime, as a result of an
: automatic hardware detection mechanism that this library contains.