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Electronics and Communications
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Electronics and Communications
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The Network on Chip Quasi optimal Topology Analysis Method

Метод аналізу квазіоптимальних топологій мереж на кристалі
Authors: Romanov, O.;

The Network on Chip Quasi optimal Topology Analysis Method

Abstract

The article concentrates upon the synthesis of network-on-chip topologies, based on the evolutionary computations method. The optimality criteria of the network-on-chip topologies and a new class of quasi-optimal topologies are proposed. The requirements for quasi-optimal topologies are defined. The genetic algorithm GeNoC for the synthesis of quasi-optimal network-on-chip topologies with the number of nodes up to 100 is developed. By using the mathematical methods of optimization the analysis of the obtained quasi-optimal topologies is performed. The importance coefficients correction method of the objective function in the synthesis of quasi-topologies is proposed; as a result, the difference in their performance compared to theoretically possible optimal topologies is reduced up to 1,8%.References 7.

В статье рассматривается синтез топологий сетей на кристалле на основе метода эволюционных вычислений. Предложены критерии оптимальности топологий сетей на кристалле и новый класс квазиоптимальных топологий. Сформулированы требования к квазиоптимальным топологиям. Разработан генетический алгоритм GeNoC для синтеза квазиоптимальных топологий сетей на кристалле с количеством узлов до 100. С помощью математических методов оптимизации, выполнен анализ полученных квазиоптимальных топологий. Предложен метод коррекции коэффициентов значимости параметров целевой функции при синтезе квазиоптимальных топологий, что позволило уменьшить разницу в их характеристиках по сравнению с теоретически возможными оптимальными топологиями до 1,8%. Библ. 7.

У статті розглянуто синтез топологій мереж на кристалі на основі методу еволюційних обчислень. Запропоновано критерії оптимальності топологій мереж на кристалі і новий клас квазіоптимальних топологій. Сформульовано вимоги до квазіоптимальних топологій. Розроблено генетичний алгоритм GeNoC для синтезу квазіоптимальних топологій мереж на кристалі з кількістю вузлів до 100. За допомогою математичних методів оптимізації виконано аналіз отриманих квазіоптимальних топологій. Запропоновано метод корекції коефіцієнтів значущості параметрів цільової функції при синтезі квазіоптимальних топологій, що дозволило зменшити різницю в їхніх характеристиках порівняно з теоретично можливими оптимальними топологіями до 1,8%. Бібл.7.

Keywords

топології квазіоптимальних мереж на кристалі, networks on chip; quasi-optimal network-on-chip topologies; evolutionary computation method; genetic algorithm, генетический алгоритм, эволюционный метод вычислений, мережі на кристалі, еволюційний метод обчислень, сети на кристалле; топологии квазиоптимальных сетей на кристалле; эволюционный метод вычислений; генетический алгоритм, evolutionary computation method, генетичний алгоритм, сети на кристалле, топологии квазиоптимальных сетей на кристалле, networks on chip, quasi-optimal network-on-chip topologies, genetic algorithm, мережі на кристалі; топології квазіоптимальних мереж на кристалі; еволюційний метод обчислень; генетичний алгоритм

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green
hybrid