학술논문

Guest Editors’ Introduction: Stochastic Computing for Neuromorphic Applications
Document Type
Periodical
Source
IEEE Design & Test IEEE Des. Test Design & Test, IEEE. 38(6):5-15 Dec, 2021
Subject
Computing and Processing
Components, Circuits, Devices and Systems
Special issues and sections
Neuromorphics
Stochastic processes
Neural networks
High performance computing
Language
ISSN
2168-2356
2168-2364
Abstract
Editor’s notes: This extended editorial provides an introduction into stochastic computing (SC) and its usage in emerging neuromorphic applications. It covers SC primitives and the tradeoffs that occur when designing larger SC-based systems. The article shows how SC enables low-cost, low-power, and error-tolerant hardware implementation of neural networks suitable for edge computing. It provides a brief survey about recent proposals in this domain and introduces the articles in this special issue. — Jörg Henkel, Karlsruhe Institute of Technology