How to Install and Uninstall zfp.i686 Package on Fedora 34

Last updated: November 17,2024

1. Install "zfp.i686" package

Please follow the steps below to install zfp.i686 on Fedora 34


    
        
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                sudo dnf update
            
                    
    
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                sudo dnf install
            
                        
                zfp.i686
            
                    
    
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2. Uninstall "zfp.i686" package

This is a short guide on how to uninstall zfp.i686 on Fedora 34:


    
        
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                sudo dnf remove
            
                        
                zfp.i686
            
                    
    
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            $
        

        
            
                sudo dnf autoremove
            
                    
    
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3. Information about the zfp.i686 package on Fedora 34

Last metadata expiration check: 1:22:22 ago on Tue Sep 6 02:10:55 2022.
Available Packages
Name : zfp
Version : 0.5.5
Release : 2.fc34
Architecture : i686
Size : 78 k
Source : zfp-0.5.5-2.fc34.src.rpm
Repository : fedora
Summary : Library for compressed numerical arrays with high throughput R/W random access
URL : https://computation.llnl.gov/projects/floating-point-compression
License : BSD
Description : This is zfp, an open source C/C++ library for compressed numerical arrays
: that support high throughput read and write random access. zfp was written by
: Peter Lindstrom at Lawrence Livermore National Laboratory, and is loosely
: based on the algorithm described in the following paper:
:
: Peter Lindstrom
: "Fixed-Rate Compressed Floating-Point Arrays"
: IEEE Transactions on Visualization and Computer Graphics,
: 20(12):2674-2683, December 2014
: doi:10.1109/TVCG.2014.2346458
:
: zfp was originally designed for floating-point data only, but has been
: extended to also support integer data, and could for instance be used to
: compress images and quantized volumetric data. To achieve high compression
: ratios, zfp uses lossy but optionally error-bounded compression. Although
: bit-for-bit lossless compression of floating-point data is not always
: possible, zfp is usually accurate to within machine epsilon in near-lossless
: mode.
:
: zfp works best for 2D and 3D arrays that exhibit spatial coherence, such as
: smooth fields from physics simulations, images, regularly sampled terrain
: surfaces, etc. Although zfp also provides a 1D array class that can be used
: for 1D signals such as audio, or even unstructured floating-point streams,
: the compression scheme has not been well optimized for this use case, and
: rate and quality may not be competitive with floating-point compressors
: designed specifically for 1D streams.