Details

Autonomic Networking-on-Chip

Bio-Inspired Specification, Development, and Verification
Embedded Multi-Core Systems

von: Phan Cong-Vinh
81,24 €
Verlag:	Crc Press
Format:	PDF
Veröffentl.:	03.09.2018
ISBN/EAN:	9781439829134
Sprache:	englisch
Anzahl Seiten:	287

In den Warenkorb

Als Gutschein

DRM-geschütztes eBook, Sie benötigen z.B. Adobe Digital Editions und eine Adobe ID zum Lesen.

Beschreibungen

Titelkurzbeschreibung

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 &quote;BioChipNets&quote;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 NoCHow to map applications onto ANoCANoC for FPGAs and structured ASICsMethods to apply formal methods in ANoC developmentWays to formalize languages that enable ANoCMethods to validate and verify techniques for ANoC Use of &quote;self-&quote; processes in ANoC (self-organization, configuration, healing, optimization, protection, etc.)Use of calculi for reasoning about context awareness and programming models in ANoCWith 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.