How to Install and Uninstall rust-matrixmultiply+num_cpus-devel.noarch Package on Fedora 39

Last updated: May 20,2024

1. Install "rust-matrixmultiply+num_cpus-devel.noarch" package

Please follow the steps below to install rust-matrixmultiply+num_cpus-devel.noarch on Fedora 39


    
        
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                sudo dnf update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf install
            
                        
                rust-matrixmultiply+num_cpus-devel.noarch
            
                    
    
    Copied

2. Uninstall "rust-matrixmultiply+num_cpus-devel.noarch" package

Here is a brief guide to show you how to uninstall rust-matrixmultiply+num_cpus-devel.noarch on Fedora 39:


    
        
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                sudo dnf remove
            
                        
                rust-matrixmultiply+num_cpus-devel.noarch
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the rust-matrixmultiply+num_cpus-devel.noarch package on Fedora 39

Last metadata expiration check: 0:03:23 ago on Thu Mar 7 11:44:58 2024.
Available Packages
Name : rust-matrixmultiply+num_cpus-devel
Version : 0.3.8
Release : 1.fc39
Architecture : noarch
Size : 8.6 k
Source : rust-matrixmultiply-0.3.8-1.fc39.src.rpm
Repository : fedora
Summary : General matrix multiplication for f32 and f64 matrices
URL : https://crates.io/crates/matrixmultiply
License : MIT OR Apache-2.0
Description : General matrix multiplication for f32 and f64 matrices. Operates on
: matrices with general layout (they can use arbitrary row and column
: stride). Detects and uses AVX or SSE2 on x86 platforms transparently for
: higher performance. Uses a microkernel strategy, so that the
: implementation is easy to parallelize and optimize. Supports
: multithreading.
:
: This package contains library source intended for building other packages which
: use the "num_cpus" feature of the "matrixmultiply" crate.