Autonomic Networking-On-Chip：Bio-Inspired Specification, Development, and Verification

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.

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.

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