High Level Synthesis for Retiming Stochastic VLSI Signal Processing Architectures

Krishnapriya, P N; Sundari, B. Bala Tripura

doi:10.1016/j.procs.2018.10.346

Cited by 5 publications

(1 citation statement)

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“…SC computation reduces processing time, memory requirement and the challenges of complex intensive computations when compared to conventional computing [3]. SC has been used for developing retiming signal processing filters using high level synthesis [4]. Lee et.al put forth possible hardware utilization of SC networks and a methodology for implementing an SC-based CNN using AI-based applications [5].…”

Section: Introductionmentioning

confidence: 99%

Accuracy Analysis on Design of Stochastic Computing in Arithmetic Components and Combinational Circuit

Ashok,

Bala Tripura Sundari

2023

Computation

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Stochastic circuits are used in applications that require low area and power consumption. The computing performed using these circuits is referred to as Stochastic computing (SC). The arithmetic operations in this computing can be realized using minimum logic circuits. The SC system allows a tradeoff of computational accuracy and area; thereby, the challenge in SC is improving the accuracy. The accuracy depends on the SC system’s stochastic number generator (SNG) part. SNGs provide the appropriate stochastic input required for stochastic computation. Hence we explore the accuracy in SC for various arithmetic operations performed using stochastic computing with the help of logic circuits. The contributions in this paper are; first, we have performed stochastic computing for arithmetic components using two different SNGs. The SNGs considered are Linear Feed-back Shift Register (LFSR) -based traditional stochastic number generators and S-box-based stochastic number generators. Second, the arithmetic components are implemented in a combinational circuit for algebraic expression in the stochastic domain using two different SNGs. Third, computational analysis for stochastic arithmetic components and the stochastic algebraic equation has been conducted. Finally, accuracy analysis and measurement are performed between LFSR-based computation and S-box-based computation. The novel aspect of this work is the use of S-box-based SNG in the development of stochastic computing in arithmetic components. Also, the implementation of stochastic computing in the combinational circuit using the developed basic arithmetic components, and exploration of accuracy with respect to stochastic number generators used is presented.

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Section: Introductionmentioning

confidence: 99%