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

TL;DR

This paper introduces a compact hardware PRNG capable of generating multiple uncorrelated sequences with customizable statistical properties, suitable for diverse applications requiring controlled randomness.

Contribution

It presents a novel hardware PRNG design that produces multiple uncorrelated sequences with programmable statistics in a small area and low energy consumption.

Findings

Successfully generates multiple uncorrelated sequences

Can tailor statistical distributions for specific needs

Maintains high-quality randomness in simulations

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.