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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.
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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.