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

Last updated: May 17,2024

1. Install "librandom123-dev" package

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


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                librandom123-dev
            
                    
    
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2. Uninstall "librandom123-dev" package

Learn how to uninstall librandom123-dev on Kali Linux:


    
        
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                sudo apt remove
            
                        
                librandom123-dev
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the librandom123-dev package on Kali Linux

Package: librandom123-dev
Source: librandom123
Version: 1.14.0+dfsg-5
Installed-Size: 248
Maintainer: Debian Med Packaging Team
Architecture: all
Size: 38908
SHA256: dc2d1695f89d05be8a763767658e4e9defb474b1c0fbbf52234d78e13adbe8b4
SHA1: deca32542023b741904f7d31be0407603177ccad
MD5sum: a0f7ffa57838b606a3686da529471798
Description: 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 2^64
independent streams), have long periods (the period of each stream is at
least 2^128), 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.
Description-md5:
Multi-Arch: foreign
Homepage: https://www.deshawresearch.com/resources_random123.html
Tag: devel::library, role::devel-lib
Section: libdevel
Priority: optional
Filename: pool/main/libr/librandom123/librandom123-dev_1.14.0+dfsg-5_all.deb