Over the past several years, embedded systems have emerged as an integral though unseen part of many consumer, industrial, and military devices. The explosive growth of these systems has resulted in embedded computing becoming an increasingly important discipline. The need for designers of high-performance, application-specific computing systems has never been greater, and many universities and colleges in the US and worldwide are now developing advanced courses to help prepare their students for careers in embedded computing.
High-Performance Embedded Computing: Architectures, Applications, and Methodologies is the first book designed to address the needs of advanced students and industry professionals. Focusing on the unique complexities of embedded system design, the book provides a detailed look at advanced topics in the field, including multiprocessors, VLIW and superscalar architectures, and power consumption. Fundamental challenges in embedded computing are described, together with design methodologies and models of computation. HPEC provides an in-depth and advanced treatment of all the components of embedded systems, with discussions of the current developments in the field and numerous examples of real-world applications.

• Covers advanced topics in embedded computing, including multiprocessors, VLIW and superscalar architectures, and power consumption
• Provides in-depth coverage of networks, reconfigurable systems, hardware-software co-design, security, and program analysis
• Includes examples of many real-world embedded computing applications (cell phones, printers, digital video) and architectures (the Freescale Starcore, TI OMAP multiprocessor, the TI C5000 and C6000 series, and others)

Wayne Wolf is Professor, Rhesea "Ray P. Farmer Distinguished Chair in EmbeddedComputing, and Georgia Research Alliance Eminent Scholar at the Georgia Institute ofTechnology. Before joining Georgia Tech, he was with Princeton University and AT&TBell Laboratories in Murray Hill, New Jersey. He received his B.S., M.S., and Ph.D. inelectrical engineering from Stanford University. He is well known for his research in theareas of hardware/software co-design, embedded computing, VLSI CAD, and multimediacomputing systems. He is a fellow of the IEEE and ACM. He co-founded severalconferences in the area, including CODES, MPSoC, and Embedded Systems Week. Hewas founding co-editor-in-chief of Design Automation for Embedded Systems andfounding editor-in-chief of ACM Transactions on Embedded Computing Systems. He hasreceived the ASEE Frederick E. Terman Award and the IEEE Circuits and Society Education Award. He is also series editor of the Morgan Kaufmann Series in Systems onSilicon.

1 Embedded Computing1.1 The Landscape of High-Performance Embedded Computing1.2 Example Applications1.3 Design Goals1.4 Design Methodologies1.5 Models of Computation1.6 Reliability, Safety, and Security1.7 Consumer Electronics Architectures1.8 Summary and a Look AheadWhat We LearnedFurther ReadingQuestionsLab Exercises2 CPUs2.1 Introduction2.2 Comparing Processors2.3 RISC Processors and Digital Signal Processors2.4 Parallel Execution Mechanisms2.5 Variable-Performance CPU Architectures2.6 Processor Memory Hierarchy2.7 Additional CPU Mechanisms2.8 CPU Simulation2.9 Automated CPU Design2.10 SummaryWhat We LearnedFurther ReadingQuestionsLab Exercises3 Programs3.1 Introduction3.2 Code Generation and Back-End Compilation3.3 Memory-Oriented Optimizations3.4 Program Performance Analysis3.5 Models of Computation and Programming3.6 SummaryWhat We LearnedFurther ReadingQuestionsLab Exercises4 Processes and Operating Systems4.1 Introduction4.2 Real-Time Process Scheduling4.3 Languages and Scheduling4.4 Operating System Design4.5 Verification4.6 SummaryWhat We LearnedFurther ReadingQuestionsLab Exercises5 Multiprocessor Architectures5.1 Introduction5.2 Why Embedded Multiprocessors?5.3 Multiprocessor Design Techniques5.4 Multiprocessor Architectures5.5 Processing Elements5.6 Interconnection Networks5.7 Memory Systems5.8 Physically Distributed Systems and Networks5.9 Multiprocessor Design Methodologies and Algorithms5.10 SummaryWhat We LearnedFurther ReadingQuestionsLab Exercises6 Multiprocessor Software6.1 Introduction6.2 What Is Different About Embedded Multiprocessor Software?6.3 Real-Time Multiprocessor Operating Systems6.4 Services and Middleware for Embedded Multiprocessors6.5 Design Verification6.6 SummaryWhat We LearnedFurther ReadingQuestionsLab Exercises7 Hardware/Software Co-Design7.1 Introduction7.2 Design Platforms7.3 Performance Analysis7.4 Hardware/Software Co-Synthesis Algorithms7.5 Hardware/Software Co-Simulation7.6 SummaryWhat We LearnedFurther ReadingQuestionsLab ExercisesGlossary