Network on chip design and optimization using specialized influence models

Authors:
Cristinel Ababei
Affiliations:
North Dakota State University, Fargo, ND
Venue:
Proceedings of the 47th Design Automation Conference
Year:
2010

Citing 4
Cited 0

A Control-Theoretic Approach to Distributed Discrete-Valued Decision-Making in Networks of Sensing Agents

IEEE Transactions on Mobile Computing
Voltage-frequency island partitioning for GALS-based networks-on-chip

Proceedings of the 44th annual Design Automation Conference
The Search for Alternative Computational Paradigms

IEEE Design & Test
An efficient on-chip NI offering guaranteed services, shared-memory abstraction, and flexible network configuration

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this study, we propose the use of specialized influence models to capture the dynamic behavior of a Network-on-Chip (NoC). Our goal is to construct a versatile modeling framework that will help in the development and analysis of distributed and adaptive features for NoCs. As an application testbench, we use this framework to construct a design methodology for dynamic voltage and frequency scaling (DVFS). We also point out similarities of the proposed model with backpressure mechanisms that could be potentially exploited toward enhanced models for estimation and optimization of NoCs.