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López, Blanca, Valverde Alcalá, Juan, Torre Arnanz, Eduardo de la ORCID: https://orcid.org/0000-0001-5697-0573 and Riesgo Alcaide, Teresa
ORCID: https://orcid.org/0000-0003-0532-8681
(2014).
Power-Aware Multi-Objective Evolvable Hardware System on an FPGA.
In: "2014 NASA/ESA Conference on Adaptive Hardware and Systems", July 14 - 18, 2014, Leicester (United Kingdom). ISBN 978-1-4799-5356-1. pp. 61-68.
Title: | Power-Aware Multi-Objective Evolvable Hardware System on an FPGA |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | 2014 NASA/ESA Conference on Adaptive Hardware and Systems |
Event Dates: | July 14 - 18, 2014 |
Event Location: | Leicester (United Kingdom) |
Title of Book: | Proceedings of the 2014 NASA/ESA Conference on Adaptive Hardware and Systems |
Date: | 2014 |
ISBN: | 978-1-4799-5356-1 |
Subjects: | |
Freetext Keywords: | evolvable hardware, dynamic and partial reconfiguration, power-aware, multi-objective evolution, FPGAs, Wireless Sensor Networks |
Faculty: | E.T.S.I. Industriales (UPM) |
Department: | Automática, Ingeniería Eléctrica y Electrónica e Informática Industrial |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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Dynamic and Partial Reconfiguration (DPR) allows a system to be able to modify certain parts of itself during run-time. This feature gives rise to the capability of evolution: changing parts of the configuration according to the online evaluation of performance or other parameters. The evolution is achieved through a bio-inspired model in which the features of the system are identified as genes. The objective of the evolution may not be a single one; in this work, power consumption is taken into consideration, together with the quality of filtering, as the measure of performance, of a noisy image. Pareto optimality is applied to the evolutionary process, in order to find a representative set of optimal solutions as for performance and power consumption. The main contributions of this paper are: implementing an evolvable system on a low-power Spartan-6 FPGA included in a Wireless Sensor Network node and, by enabling the availability of a real measure of power consumption at run-time, achieving the capability of multi-objective evolution, that yields different optimal configurations, among which the selected one will depend on the relative “weights” of performance and power consumption.
Item ID: | 37025 |
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DC Identifier: | https://oa.upm.es/37025/ |
OAI Identifier: | oai:oa.upm.es:37025 |
Official URL: | http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp... |
Deposited by: | Memoria Investigacion |
Deposited on: | 04 Aug 2015 11:13 |
Last Modified: | 06 Feb 2023 07:42 |