Analog Architecture Complexity Theory Empowering Ultra-Low Power Configurable Analog and Mixed Mode SoC Systems

Analog Architecture Complexity Theory Empowering Ultra-Low Power Configurable Analog and Mixed Mode SoC Systems

This discussion develops a theoretical analog architecture framework similar to the well developed digital architecture theory. Designing analog systems, whether small or large scale, must optimize their architectures for energy consumption. As in digital systems, a strong architecture theory, based...

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Bibliographic Details
Main Author: Jennifer Hasler
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Journal of Low Power Electronics and Applications
Subjects:
FPAA
analog computing
analog architecture complexity
Online Access:https://www.mdpi.com/2079-9268/9/1/4
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spelling doaj-99722e2fcbad43978323317f582130a72020-11-24T21:35:55ZengMDPI AGJournal of Low Power Electronics and Applications2079-92682019-01-0191410.3390/jlpea9010004jlpea9010004Analog Architecture Complexity Theory Empowering Ultra-Low Power Configurable Analog and Mixed Mode SoC SystemsJennifer Hasler0Electrical and Computer Engineering (ECE), Georgia Institute of Technology, Atlanta, GA 30332-250, USAThis discussion develops a theoretical analog architecture framework similar to the well developed digital architecture theory. Designing analog systems, whether small or large scale, must optimize their architectures for energy consumption. As in digital systems, a strong architecture theory, based on experimental results, is essential for these opportunities. The recent availability of programmable and configurable analog technologies, as well as the start of analog numerical analysis, makes considering scaling of analog computation more than a purely theoretical interest. Although some aspects nicely parallel digital architecture concepts, analog architecture theory requires revisiting some of the foundations of parallel digital architectures, particularly revisiting structures where communication and memory access, instead of processor operations, that dominates complexity. This discussion shows multiple system examples from Analog-to-Digital Converters (ADC) to Vector-Matrix Multiplication (VMM), adaptive filters, image processing, sorting, and other computing directions.https://www.mdpi.com/2079-9268/9/1/4FPAAanalog computinganalog architecture complexity
collection DOAJ
language English
format Article
sources DOAJ
author Jennifer Hasler
spellingShingle Jennifer Hasler
Analog Architecture Complexity Theory Empowering Ultra-Low Power Configurable Analog and Mixed Mode SoC Systems
Journal of Low Power Electronics and Applications
FPAA
analog computing
analog architecture complexity
author_facet Jennifer Hasler
author_sort Jennifer Hasler
title Analog Architecture Complexity Theory Empowering Ultra-Low Power Configurable Analog and Mixed Mode SoC Systems
title_short Analog Architecture Complexity Theory Empowering Ultra-Low Power Configurable Analog and Mixed Mode SoC Systems
title_full Analog Architecture Complexity Theory Empowering Ultra-Low Power Configurable Analog and Mixed Mode SoC Systems
title_fullStr Analog Architecture Complexity Theory Empowering Ultra-Low Power Configurable Analog and Mixed Mode SoC Systems
title_full_unstemmed Analog Architecture Complexity Theory Empowering Ultra-Low Power Configurable Analog and Mixed Mode SoC Systems
title_sort analog architecture complexity theory empowering ultra-low power configurable analog and mixed mode soc systems
publisher MDPI AG
series Journal of Low Power Electronics and Applications
issn 2079-9268
publishDate 2019-01-01
description This discussion develops a theoretical analog architecture framework similar to the well developed digital architecture theory. Designing analog systems, whether small or large scale, must optimize their architectures for energy consumption. As in digital systems, a strong architecture theory, based on experimental results, is essential for these opportunities. The recent availability of programmable and configurable analog technologies, as well as the start of analog numerical analysis, makes considering scaling of analog computation more than a purely theoretical interest. Although some aspects nicely parallel digital architecture concepts, analog architecture theory requires revisiting some of the foundations of parallel digital architectures, particularly revisiting structures where communication and memory access, instead of processor operations, that dominates complexity. This discussion shows multiple system examples from Analog-to-Digital Converters (ADC) to Vector-Matrix Multiplication (VMM), adaptive filters, image processing, sorting, and other computing directions.
topic FPAA
analog computing
analog architecture complexity
url https://www.mdpi.com/2079-9268/9/1/4
work_keys_str_mv AT jenniferhasler analogarchitecturecomplexitytheoryempoweringultralowpowerconfigurableanalogandmixedmodesocsystems
_version_ 1725943378638536704

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