How to Install and Uninstall librandom123-doc Package on Kali Linux

Last updated: April 28,2024

1. Install "librandom123-doc" package

This guide let you learn how to install librandom123-doc on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                librandom123-doc
            
                    
    
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2. Uninstall "librandom123-doc" package

This guide let you learn how to uninstall librandom123-doc on Kali Linux:


    
        
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                sudo apt remove
            
                        
                librandom123-doc
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the librandom123-doc package on Kali Linux

Package: librandom123-doc
Source: librandom123
Version: 1.14.0+dfsg-5
Installed-Size: 4038
Maintainer: Debian Med Packaging Team
Architecture: all
Size: 503496
SHA256: 39e991bb2095037fe87f317fc8b657b361451c9ad36c4e31333e0320bdf556d8
SHA1: 5bff5ea8b216f7e401431700f6d4fad8427a86cc
MD5sum: f7c0a2ef6279edfbb6b4e292bc1b7798
Description: documentation and examples of parallel random numbers library
Random123 is a family of highly parallelizable counter-based random
number generators (CBRNGs) that are useful for a wide range of
applications.
.
Random123 is a library of "counter-based" random number generators
(CBRNGs), in which the Nth random number can be obtained by applying a
stateless mixing function to N instead of the conventional approach of
using N iterations of a stateful transformation. CBRNGs are ideal for a
wide range of applications on modern multi-core CPUs, GPUs, clusters,
and special-purpose hardware. Three families of non-cryptographic CBRNGs
are described in a paper presented at the SC11 conference: ARS (based on
the Advanced Encryption System (AES)), Threefry (based on the Threefish
encryption function), and Philox (based on integer multiplication). They
all satisfy rigorous statistical testing (passing BigCrush in TestU01),
vectorize and parallelize well (each generator can produce at least 264
independent streams), have long periods (the period of each stream is at
least 2128), require little or no memory or state, and have excellent
performance (a few clock cycles per byte of random output). The
Random123 library can be used with CPU (C and C++) and GPU (CUDA and
OpenCL) applications.
.
This package contains the documentation and examples for the library.
Description-md5:
Multi-Arch: foreign
Homepage: https://www.deshawresearch.com/resources_random123.html
Section: doc
Priority: optional
Filename: pool/main/libr/librandom123/librandom123-doc_1.14.0+dfsg-5_all.deb