Document Type
Conference Proceeding
Publication Date
5-25-2025
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.
Included in
Computer and Systems Architecture Commons, Digital Circuits Commons, Hardware Systems Commons
Manuscript Version
Accepted Manuscript