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This book offers a road map to the synthesis of reconfigurable computing system (RCS) architecture, exploring the process from the system and on-chip levels. It describes in detail all aspects of hardware virtualization in RCS platforms-from system-on-chip components to on-board levels-for application-specific workloads, presenting methodologies for rapid adaptation to multi-parametric constraints by dynamic reconfiguration of the RCS architecture. Featuring illustrative examples, case studies, homework problems, and important literature references, the text provides a solid understanding of RCS technology and where it's most effective.…mehr

Produktbeschreibung
This book offers a road map to the synthesis of reconfigurable computing system (RCS) architecture, exploring the process from the system and on-chip levels. It describes in detail all aspects of hardware virtualization in RCS platforms-from system-on-chip components to on-board levels-for application-specific workloads, presenting methodologies for rapid adaptation to multi-parametric constraints by dynamic reconfiguration of the RCS architecture. Featuring illustrative examples, case studies, homework problems, and important literature references, the text provides a solid understanding of RCS technology and where it's most effective.
Autorenporträt
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.