287 pages | 68 B/W Illus.
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:
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.
A Bio-Inspired Architecture for Autonomic Network-on-Chip, M. Bakhouya
Bio-Inspired NoC Architecture Optimization, A.A. Morgan, H. Elmiligi, M.W. El-Kharashi, and F. Gebali
Bio-inspired optimization techniques
Graph theory representation of NoC applications
Custom architecture generation using GA
An Autonomic NoC Architecture Using Heuristic Technique for Virtual-Channel Sharing, K. Latif, A. M. Rahmani, T. Seceleanu, and H. Tenhunen
Resource utilization analysis
The proposed router architecture: PVS-NoC
Evolutionary Design of Collective Communications on Wormhole NoCs, J. Jaros and V. Dvorak
Evolutionary design of collective communications
Optimization tools and parameters adjustments
Experimental results of the quest for high-quality schedules
Formal Aspects of Parallel Processing on Bio-Inspired on-Chip Networks, P.C. Vinh
Processing BioChipNet tasks
Processing BioChipNet data
Notes and remarks
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
Toward Self-Placing Applications on 2D and 3D NoCs, L. Petre, K. Sere, L. Tsiopoulos, P. Liljeberg, and J. Plosila
Placing and replacing resources
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