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

Last updated: May 12,2024

1. Install "librandom123-doc" package

Here is a brief guide to show you how to install librandom123-doc on Ubuntu 21.04 (Hirsute Hippo)

$ sudo apt update $ sudo apt install librandom123-doc

2. Uninstall "librandom123-doc" package

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

$ sudo apt remove librandom123-doc $ sudo apt autoclean && sudo apt autoremove

3. Information about the librandom123-doc package on Ubuntu 21.04 (Hirsute Hippo)

Package: librandom123-doc
Architecture: all
Version: 1.14.0~rc2+dfsg-1
Priority: optional
Section: universe/doc
Source: librandom123
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 3924
Filename: pool/universe/libr/librandom123/librandom123-doc_1.14.0~rc2+dfsg-1_all.deb
Size: 492936
MD5sum: 46c70f88c956f2971044ece91569c733
SHA1: 977e608699eee58944f25768ddae51750ab63518
SHA256: 57da38077d763d594907d00a80b1afc7efecb04666380da11ed2762f86828750
SHA512: c7dd76fdd27384cc92750881cc9df7c2d902d5b03ba12c3398c7ea4cc62cdec8847272ad991001706ad6ffb01153eda1d54c463345f4286607fe65c7dfeb3f3d
Homepage: https://www.deshawresearch.com/resources_random123.html
Description-en: 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: 2cf62cadd3698cd9ffbc8b874dd8094c