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

Stochastic computing (SC) leverages random bitstreams to perform arithmetic operations, offering ultra-low-cost, 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 energy-efficient SC. Unlike state-of-the-art (SoTA) pseudo-random and quasi-random bit-stream generators, TRUE-BSG utilizes a high-quality 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.

Authors

Institutions

Publication Details

Published
2025-05-25
DOI
https://doi.org/10.1109/iscas56072.2025.11043264
Primary Topic
Error Correcting Code Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Magdy Bayoumi, M. Hassan Najafi, Abu Kaisar Mohammad Masum, Shelby Williams et al.
Error Correcting Code Techniques
article

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

Magdy Bayoumi, M. Hassan Najafi, Abu Kaisar Mohammad Masum, Shelby Williams, Sercan Aygün, Mehran Shoushtari Moghadam
article en

Abstract

Stochastic computing (SC) leverages random bitstreams to perform arithmetic operations, offering ultra-low-cost, 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 energy-efficient SC. Unlike state-of-the-art (SoTA) pseudo-random and quasi-random bit-stream generators, TRUE-BSG utilizes a high-quality 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.

Case Western Reserve University (US), University of Louisiana at Lafayette (US)
National Science Foundation
Openalex Percentile: Top 84%
Error Correcting Code Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

TRUE-BSG: A True Random Bit-Stream Generator for Fast and Efficient Stochastic Computing — Magdy Bayoumi, M. Hassan Najafi, et al. · (2025) | TGRS Research Map | TGRS