This book explores issues in designing high-performance embedded computer systems and networks. The emphasis is on the fundamental concepts and analytical techniques that are applicable to a range of applications, rather than on specific system components, software, or system-level integration. Topics include the co-design of embedded systems, code optimization, power and performance trade-offs, and benchmarks for evaluating embedded systems and their components. Featuring contributions by researchers from around the world, it offers a global view of groundbreaking technologies and applications.…mehr
This book explores issues in designing high-performance embedded computer systems and networks. The emphasis is on the fundamental concepts and analytical techniques that are applicable to a range of applications, rather than on specific system components, software, or system-level integration. Topics include the co-design of embedded systems, code optimization, power and performance trade-offs, and benchmarks for evaluating embedded systems and their components. Featuring contributions by researchers from around the world, it offers a global view of groundbreaking technologies and applications.
Gul N. Khan is a professor and program director of computer engineering at Ryerson University, Canada. He has previously held positions at RMIT University, Melbourne, Australia; Nanyang Technical University, Singapore; and University of Saskatchewan, Canada. Dr. Khan's research interests include embedded systems, hardware/software co-design, MPSoC, NoC, fault-tolerant systems, high performance computing, machine vision, and multimedia systems. He has published more than 95 peer-reviewed journal and conference papers. He also holds three US patents related to automatic endoscopes, and he has been the editor of three conference proceedings. Dr. Khan currently serves as the associate editor of International Journal of Embedded and Real-Time Communication Systems. Krzysztof (Kris) Iniewski manages R&D at Redlen Technologies, Inc., a start-up company in Vancouver, Canada. He is also a president of CMOS Emerging Technologies Research Inc., an organization of high-tech events covering communications, microsystems, optoelectronics, and sensors. Dr. Iniewski has held numerous faculty and management positions at the University of Toronto, the University of Alberta, Simon Fraser University, and PMC-Sierra, Inc. He has published more than 100 research papers in international journals and conferences. He holds 18 international patents granted in the United States, Canada, France, Germany, and Japan. He is a frequent invited speaker, has consulted for multiple organizations internationally, and has written and edited several books.
Inhaltsangabe
Evolution of Digital Signal Processing Architecture at Texas Instruments. Co-Synthesis of Real-Time Embedded Systems. Methods for Non-Intrusive Dynamic Application Profiling and Soft Error Detection. Embedded Systems Code Optimization and Power Consumption. Flexible and Scalable Power Management Framework for RTOS-Based Embedded Systems. Range of Benchmarks Required to Analyze Embedded Processors and Systems. Networking Embedded Systems: An Exciting Future. OCTOPUS: On-demand Communication Topology Updating Strategy for Mobile Sensor Networks. Network Structure for Delay-Aware Applications in Wireless Sensor Networks. Game-Theoretic Models for Camera Selection in Video Network. Cluster-Based Networking for MANETs Using Self-Organization. Ensemble-Based Approach for Targeting Mobile Sensor Networks: Algorithm and Sensitivity Analysis.
Evolution of Digital Signal Processing Architecture at Texas Instruments. Co-Synthesis of Real-Time Embedded Systems. Methods for Non-Intrusive Dynamic Application Profiling and Soft Error Detection. Embedded Systems Code Optimization and Power Consumption. Flexible and Scalable Power Management Framework for RTOS-Based Embedded Systems. Range of Benchmarks Required to Analyze Embedded Processors and Systems. Networking Embedded Systems: An Exciting Future. OCTOPUS: On-demand Communication Topology Updating Strategy for Mobile Sensor Networks. Network Structure for Delay-Aware Applications in Wireless Sensor Networks. Game-Theoretic Models for Camera Selection in Video Network. Cluster-Based Networking for MANETs Using Self-Organization. Ensemble-Based Approach for Targeting Mobile Sensor Networks: Algorithm and Sensitivity Analysis.
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