Autonomic Networking-on-Chip : Bio-Inspired Specification, Development, and Verification book cover
SAVE
$46.00
1st Edition

Autonomic Networking-on-Chip
Bio-Inspired Specification, Development, and Verification

Edited By

Phan Cong-Vinh





ISBN 9781439829110
Published December 7, 2011 by CRC Press
287 Pages 68 B/W Illustrations

 
SAVE ~ $46.00
was $230.00
USD $184.00

Prices & shipping based on shipping country


Preview

Book Description

Despite the growing mainstream importance and unique advantages of autonomic networking-on-chip (ANoC) technology, Autonomic Networking-On-Chip: Bio-Inspired Specification, Development, and Verification is among the first books to evaluate research results on formalizing this emerging NoC paradigm, which was inspired by the human nervous system.

The FIRST Book to Assess Research Results, Opportunities, & Trends in "BioChipNets"

The third book in the Embedded Multi-Core Systems series from CRC Press, this is an advanced technical guide and reference composed of contributions from prominent researchers in industry and academia around the world. A response to the critical need for a global information exchange and dialogue, it is written for engineers, scientists, practitioners, and other researchers who have a basic understanding of NoC and are now ready to learn how to specify, develop, and verify ANoC using rigorous approaches.

Offers Expert Insights Into Technical Topics Including:

  • Bio-inspired NoC
  • How to map applications onto ANoC
  • ANoC for FPGAs and structured ASICs
  • Methods to apply formal methods in ANoC development
  • Ways to formalize languages that enable ANoC
  • Methods to validate and verify techniques for ANoC
  • Use of "self-" processes in ANoC (self-organization, configuration, healing, optimization, protection, etc.)
  • Use of calculi for reasoning about context awareness and programming models in ANoC

With illustrative figures to simplify contents and enhance understanding, this resource contains original, peer-reviewed chapters reporting on new developments and opportunities, emerging trends, and open research problems of interest to both the autonomic computing and network-on-chip communities. Coverage includes state-of-the-art ANoC architectures, protocols, technologies, and applications. This volume thoroughly explores the theory behind ANoC to illustrate strategies that enable readers to use formal ANoC methods yet still make sound judgments and allow for reasonable justifications in practice.

Table of Contents

A Bio-Inspired Architecture for Autonomic Network-on-Chip, M. Bakhouya

Infrastructure level

Communication level

Application level

BNoC Architecture

Conclusions


Bio-Inspired NoC Architecture Optimization, A.A. Morgan, H. Elmiligi, M.W. El-Kharashi, and F. Gebali

Related work

Bio-inspired optimization techniques

Graph theory representation of NoC applications

Problem formulation

Custom architecture generation using GA

Experimental results

Conclusions


An Autonomic NoC Architecture Using Heuristic Technique for Virtual-Channel Sharing, K. Latif, A. M. Rahmani, T. Seceleanu, and H. Tenhunen

Background

Resource utilization analysis

The proposed router architecture: PVS-NoC

Experimental results

Conclusions

Glossary


Evolutionary Design of Collective Communications on Wormhole NoCs, J. Jaros and V. Dvorak

Collective communications

State-of-the-art

Evolutionary design of collective communications

Optimization tools and parameters adjustments

Experimental results of the quest for high-quality schedules

Conclusions


Formal Aspects of Parallel Processing on Bio-Inspired on-Chip Networks, P.C. Vinh

Outline

Related work

Basic concepts

Processing BioChipNet tasks

Processing BioChipNet data

Notes and remarks

Conclusions


HAMSoC: A Monitoring-Centric Design Approach for Adaptive Parallel Computing, L. Guang, J. Plosila, J. Isoaho, and H. Tenhunen

Hierarchical agent monitoring design approach

Formal specification of HAMSoC

Design example: hierarchical power monitoring in HAMNoC

Conclusions

Glossary


Toward Self-Placing Applications on 2D and 3D NoCs, L. Petre, K. Sere, L. Tsiopoulos, P. Liljeberg, and J. Plosila

Related work

NoC-oriented MIDAS

Placing and replacing resources

Conclusions


Self-Adaption in SoCs, H. Zakaria, E. Yahya, and L. Fesquet

Power management techniques

Controlling uncertainty and handling process variability

Data synchronization in GALS system

Conclusions

Glossary


Bibliography


Index

...
View More

Editor(s)

Biography

Phan Cong-Vinh received a Ph.D in computer science from London South Bank University (LSBU) in the United Kingdom, a BS in mathematics and an MS in computer science from Vietnam National University (VNU) in Ho Chi Minh City, and a BA in English from Hanoi University of Foreign Languages Studies in Vietnam. He finished his PhD dissertation with the title Formal Aspects of Dynamic Reconfigurability in Reconfigurable Computing Systems supervised by Prof. Jonathan P. Bowen at LSBU where he was affiliated with the Centre for Applied Formal Methods (CAFM) at the Institute for Computing Research (ICR). From 1983 to 2000, he was a lecturer in mathematics and computer science at VNU, Posts and Telecommunications Institute of Technology (PTIT) and several other universities in Vietnam before he joined research with Dr. Tomasz Janowski at the International Institute for Software Technology (IIST) in Macao SAR, China, as a fellow in 2000. His research interests center on all aspects of formal methods, autonomic computing and networking, reconfigurable computing, ubiquitous computing, and applied categorical structures in computer science.