A Pseudo-random Number Generator for Multi-Sequence Generation with Programmable Statistics
Abstract
Pseudo-random number generators (PRNGs) are essential in a wide range of applications, from cryptography to statistical simulations and optimization algorithms. While uniform randomness is crucial for security-critical areas like cryptography, many domains, such as simulated annealing and CMOS-based Ising Machines, benefit from controlled or non-uniform randomness to enhance solution exploration and optimize performance. This paper presents a hardware PRNG that can simultaneously generate multiple uncorrelated sequences with programmable statistics tailored to specific application needs. Designed in 65nm process, the PRNG occupies an area of approximately 0.0013mm^2 and has an energy consumption of 0.57pJ/bit. Simulations confirm the PRNG's effectiveness in modulating the statistical distribution while demonstrating high-quality randomness properties.
Keywords
Cite
@article{arxiv.2501.00193,
title = {A Pseudo-random Number Generator for Multi-Sequence Generation with Programmable Statistics},
author = {Jianan Wu and Ahmet Yusuf Salim and Eslam Elmitwalli and Selçuk Köse and Zeljko Ignjatovic},
journal= {arXiv preprint arXiv:2501.00193},
year = {2025}
}
Comments
4 pages, 9 figures