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J. Low Power Electron. Appl. 2017, 7(3), 17; doi:10.3390/jlpea7030017

Starting Framework for Analog Numerical Analysis for Energy-Efficient Computing

Electrical and Computer Engineering (ECE), Georgia Institute of Technology, Atlanta, GA 30332-250, USA
Received: 24 April 2017 / Revised: 20 June 2017 / Accepted: 20 June 2017 / Published: 27 June 2017
(This article belongs to the Special Issue Design Methodologies for Power Reduction in Consumer Electronics)
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The focus of this work is to develop a starting framework for analog numerical analysis and related algorithm questions. Digital computation is enabled by a framework developed over the last 80 years. Having an analog framework enables wider capability while giving the designer tools to make reasonable choices. Analog numerical analysis concerns computation on physical structures utilizing the real-valued representations of that physical system. This work starts the conversation of analog numerical analysis, including exploring the relevancy and need for this framework. A complexity framework based on computational strengths and weaknesses builds from addressing analog and digital numerical precision, as well as addresses analog and digital error propagation due to computation. The complimentary analog and digital computational techniques enable wider computational capabilities. View Full-Text
Keywords: FPAA; analog numerical analysis FPAA; analog numerical analysis

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Hasler, J. Starting Framework for Analog Numerical Analysis for Energy-Efficient Computing. J. Low Power Electron. Appl. 2017, 7, 17.

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J. Low Power Electron. Appl. EISSN 2079-9268 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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