Includes bibliographical references (p. 467-499) and index.

1 Embedded Computing 1.1 The Landscape of High-Performance Embedded Computing 1.2 Example Applications 1.3 Design Goals 1.4 Design Methodologies 1.5 Models of Computation 1.6 Reliability, Safety, and Security 1.7 Consumer Electronics Architectures 1.8 Summary and a Look Ahead What We Learned Further Reading Questions Lab Exercises 2 CPUs 2.1 Introduction 2.2 Comparing Processors 2.3 RISC Processors and Digital Signal Processors 2.4 Parallel Execution Mechanisms 2.5 Variable-Performance CPU Architectures 2.6 Processor Memory Hierarchy 2.7 Additional CPU Mechanisms 2.8 CPU Simulation 2.9 Automated CPU Design 2.10 Summary What We Learned Further Reading Questions Lab Exercises 3 Programs 3.1 Introduction 3.2 Code Generation and Back-End Compilation 3.3 Memory-Oriented Optimizations 3.4 Program Performance Analysis 3.5 Models of Computation and Programming 3.6 Summary What We Learned Further Reading Questions Lab Exercises 4 Processes and Operating Systems 4.1 Introduction 4.2 Real-Time Process Scheduling 4.3 Languages and Scheduling 4.4 Operating System Design 4.5 Verification 4.6 Summary What We Learned Further Reading Questions Lab Exercises 5 Multiprocessor Architectures 5.1 Introduction 5.2 Why Embedded Multiprocessors? 5.3 Multiprocessor Design Techniques 5.4 Multiprocessor Architectures 5.5 Processing Elements 5.6 Interconnection Networks 5.7 Memory Systems 5.8 Physically Distributed Systems and Networks 5.9 Multiprocessor Design Methodologies and Algorithms 5.10 Summary What We Learned Further Reading Questions Lab Exercises 6 Multiprocessor Software 6.1 Introduction 6.2 What Is Different About Embedded Multiprocessor Software? 6.3 Real-Time Multiprocessor Operating Systems 6.4 Services and Middleware for Embedded Multiprocessors 6.5 Design Verification 6.6 Summary What We Learned Further Reading Questions Lab Exercises 7 Hardware/Software Co-Design 7.1 Introduction 7.2 Design Platforms 7.3 Performance Analysis 7.4 Hardware/Software Co-Synthesis Algorithms 7.5 Hardware/Software Co-Simulation 7.6 Summary What We Learned Further Reading Questions Lab Exercises Glossary.

"High-Performance Embedded Computing takes a uniquely quantitative approach to the design of modern embedded computing systems: it describes the design challenge in terms of achieving quantifiable goals for performance, power and energy consumption, and cost. Real-world applications throughout make this book a timely and valuable resource for professionals, researchers, and students."--BOOK JACKET.

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