How to Install and Uninstall librandom123-dev Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: May 16,2024

1. Install "librandom123-dev" package

This guide covers the steps necessary to install librandom123-dev on Ubuntu 21.04 (Hirsute Hippo)


    
        
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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

Please follow the instructions below to uninstall librandom123-dev on Ubuntu 21.04 (Hirsute Hippo):


    
        
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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 Ubuntu 21.04 (Hirsute Hippo)

Package: librandom123-dev
Architecture: all
Version: 1.14.0~rc2+dfsg-1
Priority: optional
Section: universe/libdevel
Source: librandom123
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 248
Filename: pool/universe/libr/librandom123/librandom123-dev_1.14.0~rc2+dfsg-1_all.deb
Size: 38544
MD5sum: 49a13175ddd6936e95b20ef54d5ec804
SHA1: bbc09be891823610785be74a9904453caf57972d
SHA256: c0a8939ea55dbbb9d7ffb130929ed53aa37194a39d96d2b727fd2e8c50e531cb
SHA512: 94c7e8469a879f03bfdbd23a9dc5c035e3bb217d20a96b120debc57e0463e7e479959f84af46587b8df9faa0788a254941186ecf15cd41593900cf3a363fe6a0
Homepage: https://www.deshawresearch.com/resources_random123.html
Description-en: 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: 6946df1f8b87be171778d0719734f839