Dynamically reconfigurable evolutionary multi-context robust cellular array design
by Sobhan Soleymani; Afzel Noore
International Journal of Circuits and Architecture Design (IJCAD), Vol. 2, No. 1, 2016

Abstract: This paper presents a novel dynamically reconfigurable evolutionary design of multi-context multi-output near real-time functions for implementation using a 2D cellular array structure. A genetic algorithm generates solutions that reuse the cells in the cellular array to implement multiple multi-output functions, thereby minimising the area overhead and power consumed. Further constraints are introduced to yield solutions that are resilient to single cell failure. Test vectors to identify the faulty cell are presented. The experimental validation and results of the proposed approach is demonstrated on a 5 × 5 cellular array to implement context-specific arithmetic functions under fault-free and faulty cell scenarios. The upper and lower bounds for the total time delay in the reconfigurable 2D array is derived.

Online publication date: Tue, 12-Apr-2016

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
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 Circuits and Architecture Design (IJCAD):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your 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