TRUE-BSG: A True Random Bit-Stream Generator for Fast and Efficient Stochastic Computing

Authors

Mehran Shoushtari Moghadam, Case Western Reserve UniversityFollow
M. Hassan Najafi, Case Western Reserve UniversityFollow

Author ORCID Identifier

Mehran Shoushtari Moghadam

M. Hassan Najafi

Document Type

Conference Proceeding

Publication Date

5-25-2025

Manuscript Version

am

Abstract

Stochastic computing (SC) leverages random bitstreams to perform arithmetic operations, offering ultra-lowcost, fault-tolerant, and highly parallelizable computations. The quality of these bit-streams is crucial for the accuracy and reliability of SC. This paper introduces TRUE-BSG, a novel true random bit-stream generator designed for fast and energyefficient SC. Unlike state-of-the-art (SoTA) pseudo-random and quasi-random bit-stream generators, TRUE-BSG utilizes a highquality true random number generator (TRNG), capable of producing random bits at a rate of 1 Gigabit per second. Our TRNG ensures high entropy and minimal correlation. TRUE-BSG shows comparable accuracy to software-based generators and better energy efficiency than SoTA bit-stream generators, making it an ideal solution for resource-constrained devices.

Language

English

Publication Title

The 2025 IEEE International Symposium on Circuits and Systems (ISCAS)

Rights

This is a peer reviewed Accepted Manuscript version of this article and is available through CWRU's Faculty Open Access Policy

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Recommended Citation

Mehran Shoushtari Moghadam, Shelby A Williams, Abu Kaisar Mohammad Masum, M. Hassan Najafi, Sercan Aygun, and Magdy Bayoumi, “TRUE-BSG: A True Random Bit-Stream Generator for Fast and Efficient Stochastic Computing,” The 2025 IEEE International Symposium on Circuits and Systems (ISCAS), May 2025.