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Informationen zum Autor Yoonjin Kim is an assistant professor in the Department of Computer Science at Sookmyung Women’s University in Seoul, South Korea. Dr. Kim was previously a senior R&D staff member at Samsung Advanced Institute of Technology in Yongin, South Korea. He earned his Ph.D. in computer engineering from Texas A&M University. His research interests include embedded systems, computer architecture, VLSI/system-on-chip design, and hardware/software co-design. Rabi N. Mahapatra is a professor in the Department of Computer Science and Engineering and director of the Embedded Systems and Codesign Laboratory at Texas A&M University in College Station. He is an associate editor of the ACM Transactions on Embedded Computing and an editorial board member of the International Journal on Information and Communication Technology . Dr. Mahapatra is also founder and chairman of the Bhubaneswar Institute of Technology (BIT) in India. His research interests include network on chip, system-on-chip reliability, low-power IP lookup architectures, and intention-based searching. Klappentext "Presenting new approaches to reconfigurable architectures for embedded systems! this book discusses the design and implementation of coarse-grained reconfigurable architectures (CGRAs). It provides novel techniques for designing CGRA-based systems. Focusing on low-power reconfiguration techniques! the text highlights the tradeoffs between performance and power in CGRAs and details integrated low-power design approaches. The authors outline the history and emerging research of CGRAs. They also cover dynamic context management and compression for low-power CGRAs as well as hierarchical reconfigurable computing arrays"-- Zusammenfassung Presenting fresh approaches to reconfigurable architectures for embedded systems, this book discusses the design and implementation of coarse-grained reconfigurable architectures (CGRAs). It provides novel techniques for designing CGRA-based systems. Inhaltsverzeichnis Introduction. Trends in CGRA. CGRA for High Performance and Flexibility. Base CGRA Implementation. Power Consumption in CGRA. Low-Power Reconfiguration Technique. Dynamic Context Compression for Low-Power CGRA. Dynamic Context Management for Low-Power CGRA. Cost-Effective Array Fabric. Hierarchical Reconfigurable Computing Arrays. Integrated Approach to Optimize CGRA. Bibliography. Index. ...
