Heuristic genetic algorithm of computational pipelines optimization
Abstract
An analysis of computational pipelines and their optimization methods has been performed. A class of dataflow pipelines that do not use resource sharing and obtain high throughput has been considered. Pipeline optimization tasks being solved during high-level synthesis from random logic behavioral specifications in programming and hardware description languages have been considered. A heuristic genetic optimization algorithm which is capable of handling large designs has been proposed and investigated.
About the Authors
A. A. Prihozhy
Belarusian National Technical University
Belarus
Belarus
A. M. Zhdanouski
Belarusian National Technical University
Belarus
Belarus
O. N. Karasik
Belarusian National Technical University
Belarus
Belarus
M. .. Mattavelli
École polytechnique fédérale de Lausanne
Belarus
Belarus
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Review
For citations:
Prihozhy A.A., Zhdanouski A.M., Karasik O.N., Mattavelli M... Heuristic genetic algorithm of computational pipelines optimization. Doklady BGUIR. 2017;(1):34-41. (In Russ.)
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