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.
Reihe
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Electrical engineers, computer scientists, computer engineers, developers and practitioners in networks-on-chips design.
Illustrationen
68 s/w Abbildungen, 21 s/w Tabellen
21 Tables, black and white; 68 Illustrations, black and white
Maße
Höhe: 234 mm
Breite: 156 mm
Gewicht
ISBN-13
978-1-4398-2911-0 (9781439829110)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
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.
Herausgeber*in
Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam
A Bio-Inspired Architecture for Autonomic Network-on-Chip. Bio-Inspired NoC Architecture Optimization. An Autonomic NoC Architecture Using Heuristic Technique for Virtual-Channel Sharing. Evolutionary Design of Collective Communications on Wormhole NoCs. Formal Aspects of Parallel Processing on Bio-Inspired on-Chip Networks. HAMSoC: A Monitoring-Centric Design Approach for Adaptive Parallel Computing. Toward Self-Placing Applications on 2D and 3D NoCs. Self-Adaption in SoCs. Bibliography. Index.
