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Author Wettin, Paul ♦ Vidapalapati, Anuroop ♦ Ganguly, Amlan ♦ Pande, Partha Pratim
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2013
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Multicore ♦ NoC ♦ Carbon nanotube ♦ Fault tolerance ♦ Small world ♦ Wireless links
Abstract The Network-on-Chip (NoC) paradigm has emerged as a scalable interconnection infrastructure for modern multicore chips. However, with growing levels of integration, the traditional NoCs suffer from high latency and energy dissipation in on-chip data transfer due to conventional multihop metal/dielectric-based interconnects. Three-dimensional integration, on-chip photonics, RF, and wireless links have been proposed as radical low-power and low-latency alternatives to the conventional planar wire-based designs. Wireless NoCs with Carbon NanoTube (CNT) antennas are shown to outperform traditional wire-based NoCs significantly in achievable data rate and energy dissipation. However, such emerging and transformative technologies will be prone to high levels of failures due to various issues related to manufacturing challenges and integration. On the other hand, several naturally occurring complex networks such as colonies of microbes and the World Wide Web are known to be inherently robust against high rates of failures and harsh environments. This article advocates adoption of such complex network-based architectures to minimize the effect of wireless link failures on the performance of the NoC. Through cycle-accurate simulations it is shown that the wireless NoC architectures inspired by natural complex networks perform better than their conventional wired counterparts even in the presence of high degrees of link failures. We demonstrate the robustness of the proposed wireless NoC architecture by incorporating both uniform and application-specific traffic patterns.
ISSN 15504832
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2013-10-08
Publisher Place New York
e-ISSN 15504840
Journal ACM Journal on Emerging Technologies in Computing Systems (JETC)
Volume Number 9
Issue Number 3
Page Count 19
Starting Page 1
Ending Page 19


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Source: ACM Digital Library