How to Install and Uninstall rust-matrixmultiply+thread-tree-devel.noarch Package on Fedora 34

Last updated: November 25,2024

1. Install "rust-matrixmultiply+thread-tree-devel.noarch" package

Learn how to install rust-matrixmultiply+thread-tree-devel.noarch on Fedora 34


    
        
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                sudo dnf update
            
                    
    
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                sudo dnf install
            
                        
                rust-matrixmultiply+thread-tree-devel.noarch
            
                    
    
    Copied

2. Uninstall "rust-matrixmultiply+thread-tree-devel.noarch" package

This guide covers the steps necessary to uninstall rust-matrixmultiply+thread-tree-devel.noarch on Fedora 34:


    
        
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                sudo dnf remove
            
                        
                rust-matrixmultiply+thread-tree-devel.noarch
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the rust-matrixmultiply+thread-tree-devel.noarch package on Fedora 34

Last metadata expiration check: 5:54:21 ago on Tue Sep 6 02:10:55 2022.
Available Packages
Name : rust-matrixmultiply+thread-tree-devel
Version : 0.3.2
Release : 1.fc34
Architecture : noarch
Size : 8.4 k
Source : rust-matrixmultiply-0.3.2-1.fc34.src.rpm
Repository : updates
Summary : General matrix multiplication for f32 and f64 matrices
URL : https://crates.io/crates/matrixmultiply
License : MIT or ASL 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 "thread-tree" feature of the "matrixmultiply" crate.