1st Edition

Reconfigurable Computing Systems Engineering Virtualization of Computing Architecture

By Lev Kirischian Copyright 2016
346 Pages
by CRC Press

346 Pages 18 Color & 114 B/W Illustrations
by CRC Press

346 Pages 18 Color & 114 B/W Illustrations
by CRC Press

Reconfigurable Computing Systems Engineering: Virtualization of Computing Architecture describes the organization of reconfigurable computing system (RCS) architecture and discusses the pros and cons of different RCS architecture implementations. Providing a solid understanding of RCS technology and where it’s most effective, this book: Details the architecture organization of RCS... Read more

Introduction to Reconfigurable Computing Systems. Organization of the Field of Configurable Resources. Architecture of the On-Chip Processing Elements. Reconfigurable Communication Infrastructure in the FCR. System-Level Organization of the FCR. Configuration Memory and Architecture Virtualization in RCS. Reconfiguration Process Organization in the On-Chip Level of a Reconfigurable Computing System. RCS Architecture Configuration and Runtime Reconfiguration. Virtualization of the Architectural Components of a System on Chip. Virtualization of Reconfigurable Computing System Architecture.

Biography

Lev Kirischian, Ph.D, P.Eng, Member IEEE, has been affiliated with Ryerson University, Canada for 18 years. His research involves dynamically reconfigurable computing systems, automated architectural synthesis of data-stream processors, and workload-adaptive and self-healing reconfigurable architectures. He participated in the research and development of the first-generation Soviet supercomputers with reconfigurable architectures in the 1980s, FPGA-based segment of COFDM modulation technology for digital audio/video broadcasting systems for satellite and terrestrial networks (used in the SiriusXM satellite radio network), workload adaptive and self-restorable space-borne embedded computer platforms, and 3D-panoramic machine vision systems, among other technologies. In the last decade, he has developed and taught several courses associated with high-performance and reconfigurable computing as well as high-level synthesis of application-specific processors.