Stochastic Computing Implementation of Chaotic Systems

Oscar Camps, Stavros G. Stavrinides and Rodrigo Picos
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Oscar Camps: Industrial Engineering and Construction Department, University of Balearic Islands, 07122 Palma, Spain
Stavros G. Stavrinides: School of Science and Technology, International Hellenic University, 57001 Thessaloniki, Greece
Rodrigo Picos: Industrial Engineering and Construction Department, University of Balearic Islands, 07122 Palma, Spain

Mathematics, 2021, vol. 9, issue 4, 1-20

Abstract: An exploding demand for processing capabilities related to the emergence of the Internet of Things (IoT), Artificial Intelligence (AI), and big data, has led to the quest for increasingly efficient ways to expeditiously process the rapidly increasing amount of data. These ways include different approaches like improved devices capable of going further in the more Moore path but also new devices and architectures capable of going beyond Moore and getting more than Moore. Among the solutions being proposed, Stochastic Computing has positioned itself as a very reasonable alternative for low-power, low-area, low-speed, and adjustable precision calculations—four key-points beneficial to edge computing. On the other hand, chaotic circuits and systems appear to be an attractive solution for (low-power, green) secure data transmission in the frame of edge computing and IoT in general. Classical implementations of this class of circuits require intensive and precise calculations. This paper discusses the use of the Stochastic Computing (SC) framework for the implementation of nonlinear systems, showing that it can provide results comparable to those of classical integration, with much simpler hardware, paving the way for relevant applications.

Keywords: stochastic logic; chaotic systems; approximate computing; shimizu-morioka system; chaotic circuits; fpga implementation (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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