Embedded processor characteristics specification through multiobjective evolutionary algorithms

K. Ghali; O. Hammami

doi:10.1109/ISIE.2003.1267942

Embedded processor characteristics specification through multiobjective evolutionary algorithms

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The design of a superscalar microprocessor for a given workload is a tremendous task by itself due to the numerous parameters involved and the ranges of their possible values. If power consumption and area are also to be considered then the problem is even more complicated and requires a suitable framework and methodology for exploring the vast multidimensional space for such a problem. In this paper we propose such a framework based on multi-objective evolutionary algorithms and demonstrate its use on a significant size example.

Original language	English
Title of host publication	2003 IEEE International Symposium on Industrial Electronics, ISIE 2003
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	907-912
Number of pages	6
ISBN (Electronic)	0780379128
DOIs	https://doi.org/10.1109/ISIE.2003.1267942
Publication status	Published - 1 Jan 2003
Event	IEEE International Symposium on Industrial Electronics, ISIE 2003 - Rio de Janeiro, Brazil Duration: 9 Jun 2003 → 11 Jun 2003

Publication series

Name	IEEE International Symposium on Industrial Electronics
Volume	II

Conference

Conference	IEEE International Symposium on Industrial Electronics, ISIE 2003
Country/Territory	Brazil
City	Rio de Janeiro
Period	9/06/03 → 11/06/03

Keywords

Bioinformatics
Concatenated codes
Convolutional codes
Energy consumption
Evolutionary computation
Genomics
Microprocessors
Multidimensional systems
Space exploration
Turbo codes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ISIE.2003.1267942

Cite this

Ghali, K., & Hammami, O. (2003). Embedded processor characteristics specification through multiobjective evolutionary algorithms. In 2003 IEEE International Symposium on Industrial Electronics, ISIE 2003 (pp. 907-912). Article 1267942 (IEEE International Symposium on Industrial Electronics; Vol. II). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISIE.2003.1267942

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title = "Embedded processor characteristics specification through multiobjective evolutionary algorithms",

abstract = "The design of a superscalar microprocessor for a given workload is a tremendous task by itself due to the numerous parameters involved and the ranges of their possible values. If power consumption and area are also to be considered then the problem is even more complicated and requires a suitable framework and methodology for exploring the vast multidimensional space for such a problem. In this paper we propose such a framework based on multi-objective evolutionary algorithms and demonstrate its use on a significant size example.",

keywords = "Bioinformatics, Concatenated codes, Convolutional codes, Energy consumption, Evolutionary computation, Genomics, Microprocessors, Multidimensional systems, Space exploration, Turbo codes",

author = "K. Ghali and O. Hammami",

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year = "2003",

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doi = "10.1109/ISIE.2003.1267942",

language = "English",

series = "IEEE International Symposium on Industrial Electronics",

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Ghali, K & Hammami, O 2003, Embedded processor characteristics specification through multiobjective evolutionary algorithms. in 2003 IEEE International Symposium on Industrial Electronics, ISIE 2003., 1267942, IEEE International Symposium on Industrial Electronics, vol. II, Institute of Electrical and Electronics Engineers Inc., pp. 907-912, IEEE International Symposium on Industrial Electronics, ISIE 2003, Rio de Janeiro, Brazil, 9/06/03. https://doi.org/10.1109/ISIE.2003.1267942

Embedded processor characteristics specification through multiobjective evolutionary algorithms. / Ghali, K.; Hammami, O.
2003 IEEE International Symposium on Industrial Electronics, ISIE 2003. Institute of Electrical and Electronics Engineers Inc., 2003. p. 907-912 1267942 (IEEE International Symposium on Industrial Electronics; Vol. II).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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KW - Bioinformatics

KW - Concatenated codes

KW - Convolutional codes

KW - Energy consumption

KW - Evolutionary computation

KW - Genomics

KW - Microprocessors

KW - Multidimensional systems

KW - Space exploration

KW - Turbo codes

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Y2 - 9 June 2003 through 11 June 2003

ER -

Embedded processor characteristics specification through multiobjective evolutionary algorithms

Abstract

Publication series

Conference

Keywords

UN SDGs

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