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

Mehran Shoushtari Moghadam, Shelby Williams, Abu Kaisar Mohammad Masum, M. Hassan Najafi, Sercan Aygun, Magdy A. Bayoumi

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.

External IDs:dblp:conf/iscas/MoghadamWMNAB25