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arXiv · 2501.00193

A Pseudo-random Number Generator for Multi-Sequence Generation with Programmable Statistics

Jianan Wu·Ahmet Yusuf Salim·Eslam Elmitwalli·Selçuk Köse·Zeljko Ignjatovic
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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.

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Jianan Wu, Ahmet Yusuf Salim, Eslam Elmitwalli, Selçuk Köse, Zeljko Ignjatovic. 2024-12-31. A Pseudo-random Number Generator for Multi-Sequence Generation with Programmable Statistics. https://arxiv.org/abs/2501.00193

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