research-article

Multiprocessor systems-on-chip synthesis using multi-objective evolutionary computation

Authors:

Fabrizio Ferrandi,

Pier Luca Lanzi,

Donatella Sciuto,

Antonino TumeoAuthors Info & Claims

GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation

Pages 1267 - 1274

https://doi.org/10.1145/1830483.1830710

Published: 07 July 2010 Publication History

Abstract

In this paper, we apply multi-objective evolutionary computation to the synthesis of real-time, embedded, heterogeneous, multiprocessor systems (briefly, Multiprocessor Systems-on-Chip or MP-SoCs). Our approach simultaneously explores the architecture, the mapping and the scheduling of the system, by using multi-objective evolution. In particular, we considered three approaches: a multi-objective genetic algorithm, multi-objective Simulated Annealing, and multi-objective Tabu Search. The algorithms search for optimal architectures, in terms of processing elements (processors and hardware accelerators) and communication infrastructure, and for the best mappings and schedules of multi-rate real-time applications given objectives such as: system area, hard and soft dead-lines violations, dimensions of memory buffers. We formalize the problem, describe our flow and compare the three algorithms, dis- cussing which one performs better with respect to different classes of applications.

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Cited By

Tumeo AMinutoli MCastellana VManzano JAmatya VBrooks DWei G(2020)Invited: Software Defined Accelerators From Learning Tools Environment2020 57th ACM/IEEE Design Automation Conference (DAC)10.1109/DAC18072.2020.9218489(1-6)Online publication date: Jul-2020
https://doi.org/10.1109/DAC18072.2020.9218489
Mariani GPalermo GZaccaria VSilvano C(2015)DeSpErate++: An Enhanced Design Space Exploration Framework Using Predictive Simulation SchedulingIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems10.1109/TCAD.2014.237963434:2(293-306)Online publication date: Feb-2015
https://doi.org/10.1109/TCAD.2014.2379634
Wozniak ETucci-Piergiovanni SMraidha CGerard S(2013)An Integrated Approach for Modeling, Analysis and Optimization of Systems whose Design Follows the EAST-ADL2/AUTOSAR MethodologySAE International Journal of Passenger Cars - Electronic and Electrical Systems10.4271/2013-01-12256:1(276-286)Online publication date: 8-Apr-2013
https://doi.org/10.4271/2013-01-1225
Show More Cited By

Index Terms

Multiprocessor systems-on-chip synthesis using multi-objective evolutionary computation
1. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems

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cover image ACM Conferences

GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation

July 2010

1520 pages

ISBN:9781450300728

DOI:10.1145/1830483

General Chair:
Martin Pelikan
University of Missouri, USA
,
Program Chair:
Jürgen Branke
University of Warwick, Coventry, UK

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation

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Association for Computing Machinery

New York, NY, United States

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Published: 07 July 2010

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GECCO '10

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SIGEVO

GECCO '10: Genetic and Evolutionary Computation Conference

July 7 - 11, 2010

Oregon, Portland, USA

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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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Cited By

Tumeo AMinutoli MCastellana VManzano JAmatya VBrooks DWei G(2020)Invited: Software Defined Accelerators From Learning Tools Environment2020 57th ACM/IEEE Design Automation Conference (DAC)10.1109/DAC18072.2020.9218489(1-6)Online publication date: Jul-2020
https://doi.org/10.1109/DAC18072.2020.9218489
Mariani GPalermo GZaccaria VSilvano C(2015)DeSpErate++: An Enhanced Design Space Exploration Framework Using Predictive Simulation SchedulingIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems10.1109/TCAD.2014.237963434:2(293-306)Online publication date: Feb-2015
https://doi.org/10.1109/TCAD.2014.2379634
Wozniak ETucci-Piergiovanni SMraidha CGerard S(2013)An Integrated Approach for Modeling, Analysis and Optimization of Systems whose Design Follows the EAST-ADL2/AUTOSAR MethodologySAE International Journal of Passenger Cars - Electronic and Electrical Systems10.4271/2013-01-12256:1(276-286)Online publication date: 8-Apr-2013
https://doi.org/10.4271/2013-01-1225
Aleti ABuhnova BGrunske LKoziolek AMeedeniya I(2013)Software Architecture Optimization MethodsIEEE Transactions on Software Engineering10.1109/TSE.2012.6439:5(658-683)Online publication date: 1-May-2013
https://dl.acm.org/doi/10.1109/TSE.2012.64
Meedeniya IAleti AGrunske L(2012)Architecture-driven reliability optimization with uncertain model parametersJournal of Systems and Software10.1016/j.jss.2012.04.05685:10(2340-2355)Online publication date: 1-Oct-2012
https://dl.acm.org/doi/10.1016/j.jss.2012.04.056

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