A comparison between evolutionary and local search techniques applied to NoC design space exploration Online publication date: Mon, 16-Nov-2020
by Jefferson Silva; Sílvia M.D.M. Maia; Monica Magalhães; Márcio E. Kreutz
International Journal of Innovative Computing and Applications (IJICA), Vol. 11, No. 4, 2020
Abstract: Networks on chip emerged as a communication architecture that overcame the limitations of bus architecture. As more cores were being incorporated in a single die, shared communication architectures reached out limitations in terms of scalability and performance. However, the NoC-based communication architecture has many configuration parameters leading to a huge design space to be covered during the design phase. Aiming to find optimised configurations, some methods should be employed to explore the design space and speed up this process. This paper investigates three techniques, genetic algorithm, memetic algorithm, and iterated local search. Results have shown the lowest execution time for ILS when compared with the other two. In relation to the quality of the solution, the MME overcame both in almost all scenarios, even considering execution time or number of evaluation as stop criteria.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Innovative Computing and Applications (IJICA):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook