Treffer: Fuzzy decision making in embedded system design

Title:
Fuzzy decision making in embedded system design
Authors:
DI NUOVO, Alessandro G, PALESI, Maurizio, PATTI, Davide
Source:
CODES+ISSS 2006 (International Conference on Hardware/Software Codesign and System Synthesis). :223-228
Publisher Information:
New York NY: Association for Computing Machinery, 2006.
Publication Year:
2006
Physical Description:
print, 24 ref 1
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Electronique, Electronics, Electronique des semiconducteurs. Microélectronique. Optoélectronique. Dispositifs à l'état solide, Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices, Circuits intégrés, Integrated circuits, Circuits intégrés par fonction (dont mémoires et processeurs), Integrated circuits by function (including memories and processors), Analyse amas, Cluster analysis, Analisis cluster, Analyse décision, Decision analysis, Análisis decisión, Calculateur embarqué, Boarded computer, Calculador embarque, Circuit à la demande, Custom circuit, Circuito integrato personalizado, Classification, Clasificación, Conception circuit, Circuit design, Diseño circuito, Conception conjointe, Codesign, Diseño conjunto, Décision floue, Fuzzy decision, Decisión borrosa, Hétérogénéité, Heterogeneity, Heterogeneidad, Logique floue, Fuzzy logic, Lógica difusa, Mot instruction très long, Very long instruction word, Palabra instrucción muy larga, Optimisation, Optimization, Optimización, Optimum Pareto, Pareto optimum, Optimo Pareto, Prise décision, Decision making, Toma decision, Problème recherche, Search problem, Problema investigación, Programmation multiobjectif, Multiobjective programming, Programación multiobjetivo, Solution optimale, Optimal solution, Solución óptima, Système aide décision, Decision support system, Sistema ayuda decisíon
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Dipartimento di Ingegneria Informatica e delle Telecomunicazioni Università degli Studi di Catania, Catania, Italy
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=18707356
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Electronics
Accession Number:
edscal.18707356
Database:
PASCAL Archive

Weitere Informationen

The use of Application Specific Instruction-set Processors (ASIP) is a solution to the problem of increasing complexity in embedded systems design. One of the major challenges in ASIP design is Design Space Exploration (DSE), because of the heterogeneity of the objectives and parameters involved. Typically DSE is a multi-objective search problem, where performance, power, area, etc. are the different optimization criteria. The output of a DSE strategy is a set of candidate design solutions called a Pareto-optimal set. Choosing a solution for system implementation from the Pareto-optimal set can be a difficult task, generally because Pareto-optimal sets can be extremely large or even contain an infinite number of solutions. In this paper we propose a methodology to assist the decision-maker in analysis of the solutions to multi-objective problems. By means of fuzzy clustering techniques, it finds the reduced Pareto subset, which best represents all the Pareto solutions. This optimal subset will be used for further and more accurate (but slower) analysis. As a real application example we address the optimization of area, performance, and power of a VLIW-based embedded system.