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About the Book: The goal of this text is to help students, researchers and academicians, who are working in the field of CAD for VLSI. Network-on-Chip(NoC) has been recently developed as an on-chip communication solution for System-on-Chip(SoC) design. This paradigm supports various communication resources at a time and overcomes the limitations of bus-based System. Design space exploration methodology at system level reduces the time-to-market pressure of the large and complex systems. On the other hand, design space exploration at system level is a combinatorial optimization problem. So,…mehr

Produktbeschreibung
About the Book: The goal of this text is to help students, researchers and academicians, who are working in the field of CAD for VLSI. Network-on-Chip(NoC) has been recently developed as an on-chip communication solution for System-on-Chip(SoC) design. This paradigm supports various communication resources at a time and overcomes the limitations of bus-based System. Design space exploration methodology at system level reduces the time-to-market pressure of the large and complex systems. On the other hand, design space exploration at system level is a combinatorial optimization problem. So, multi-objective Genetic Algorithm has been considered as an optimization tool for the design space exploration task. This book provides detailed methodology/algorithms to explore the design space of NoC at System Level using Genetic Algorithm. This book is the outcome of my PhD work. I hope this book will help all stake holders for extensive research in the field of NoC at System level.
Autorenporträt
Dr. Rabindra Kumar Jena is presently working as an Associate Professor (Information Technology) at Institute of Management Technology (IMT), Nagpur, India. He has degrees in M.Sc, M.Tech(CSE) and PhD from ABV-Indian Institute of Information Technology and Management, Gwalior, India. He has more than 13 years of experience in teaching and research.