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High-level synthesis optimisation with genetic algorithms

conference contribution
posted on 1996-01-01, 00:00 authored by J Daalder, Peter EklundPeter Eklund, K Ohmori
© Springer-Verlag Berlin Heidelberg 1996. The results of a genetic algorithm optimisation of the scheduling and allocation phases of high-level synthesis are reported. Scheduling and allocation are NP complete, multi-objective phases of high-level synthesis. A high-level synthesis system must combine the two problems to produce optimal results. The genetic algorithm described provides a robust and efficient method of search capable of combining scheduling and allocation phases, and responding to the multiple and changing objectives of high-level synthesis. The results show the genetic algorithm succeeds in finding optimal or near optimal results to classic benchmarks in small computational time spans.

History

Volume

1114

Pagination

276-287

Location

Cairns, Queensland

Start date

1996-08-26

End date

1996-08-30

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783540615323

ISBN-10

3540615326

Language

eng

Publication classification

E1.1 Full written paper - refereed

Editor/Contributor(s)

Foo NY, Goebel R

Title of proceedings

PRICAI 1996 : Topics in artificial inteligence : Proceedings of the 4th Pacific Rim Internationaal 1996 Conference

Event

Pacific Rim International Conference on Artificial Intelligence (1996 : Cairns, Queensland)

Publisher

Springer

Place of publication

Berlin, Germany

Series

Lecture notes in comptuer science

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