Multi-objective algorithms for the application mapping problem in heterogeneous multiprocessor embedded system design

Multi-objective algorithms for the application mapping problem in heterogeneous multiprocessor... J Supercomput https://doi.org/10.1007/s11227-018-2442-2 Multi-objective algorithms for the application mapping problem in heterogeneous multiprocessor embedded system design 1 1 Sima Sinaei · Omid Fatemi © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract Design at the Electronic System-Level tackles the increasing complexity of embedded systems by raising the level of abstraction in system specification and modeling. Two important steps in this process are evaluation of a single design con- figuration and design space exploration. The exponential size of the design space, along with the complex task of simulating a single design point, makes it impossible to explore the design space efficiently in almost all MPSoC design situations. In order to overcome this problem, one or both of the main steps of the design process (i.e., simulation and exploration) must be accelerated. In this paper, for the first part of the design process, high-level analytical models for application mapping and evaluation are presented in order to accelerate the evaluation of a single design configuration. In the second part of the design process, two multi-objective optimization algorithms that are based on particle swarm optimization and simulated annealing have been proposed for performing design space exploration. Considering multimedia applications as case http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The Journal of Supercomputing Springer Journals

Multi-objective algorithms for the application mapping problem in heterogeneous multiprocessor embedded system design

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Publisher
Springer US
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Computer Science; Programming Languages, Compilers, Interpreters; Processor Architectures; Computer Science, general
ISSN
0920-8542
eISSN
1573-0484
D.O.I.
10.1007/s11227-018-2442-2
Publisher site
See Article on Publisher Site

Abstract

J Supercomput https://doi.org/10.1007/s11227-018-2442-2 Multi-objective algorithms for the application mapping problem in heterogeneous multiprocessor embedded system design 1 1 Sima Sinaei · Omid Fatemi © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract Design at the Electronic System-Level tackles the increasing complexity of embedded systems by raising the level of abstraction in system specification and modeling. Two important steps in this process are evaluation of a single design con- figuration and design space exploration. The exponential size of the design space, along with the complex task of simulating a single design point, makes it impossible to explore the design space efficiently in almost all MPSoC design situations. In order to overcome this problem, one or both of the main steps of the design process (i.e., simulation and exploration) must be accelerated. In this paper, for the first part of the design process, high-level analytical models for application mapping and evaluation are presented in order to accelerate the evaluation of a single design configuration. In the second part of the design process, two multi-objective optimization algorithms that are based on particle swarm optimization and simulated annealing have been proposed for performing design space exploration. Considering multimedia applications as case

Journal

The Journal of SupercomputingSpringer Journals

Published: May 29, 2018

References

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