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High-Performance Embedded Computing
 
 

High-Performance Embedded Computing, 2nd Edition

Applications in Cyber-Physical Systems and Mobile Computing

 
High-Performance Embedded Computing, 2nd Edition,Marilyn Wolf,ISBN9780124105119
 
 
 

  

Morgan Kaufmann

9780124105119

506

235 X 191

Revised edition covering the latest processors, architectures, and enhancements to achieve high-performing embedded computing systems

Print Book

Paperback

In Stock

Estimated Delivery Time
USD 84.95
 
 

Key Features

  • Revised and updated with coverage of recently developed consumer electronics architectures and models of computing
  • Includes new VLIW processors such as the TI Da Vinci, and CPU simulation
  • Learn model-based verification and middleware for embedded systems
  • Supplemental material includes lecture slides, labs, and additional resources

Description

High-Performance Embedded Computing, Second Edition, combines leading-edge research with practical guidance in a variety of embedded computing topics, including real-time systems, computer architecture, and low-power design. Author Marilyn Wolf presents a comprehensive survey of the state of the art, and guides you to achieve high levels of performance from  the embedded systems that bring these technologies together.

The book covers CPU design, operating systems, multiprocessor programs and architectures, and much more. Embedded computing is a key component of cyber-physical systems, which combine physical devices with computational resources for control and communication. This revised edition adds new content and examples of cyber-physical systems throughout the book, including design methodologies, scheduling, and wide-area CPS to illustrate the possibilities of these new systems.

Readership

Professionals in high-performance and /or embedded computing; practitioners in cyber-physical systems, and students in graduate courses on these topics

Marilyn Wolf

Marilyn Wolf is Farmer Distinguished Chair and Georgia Research Alliance Eminent Scholar at the Georgia Institute of Technology. She received her BS, MS, and PhD in electrical engineering from Stanford University in 1980, 1981, and 1984, respectively. She was with AT&T Bell Laboratories from 1984 to 1989. She was on the faculty of Princeton University from 1989 to 2007. Her research interests included embedded computing, embedded video and computer vision, and VLSI systems. She has received the ASEE Terman Award and IEEE Circuits and Systems Society Education Award. She is a Fellow of the IEEE and ACM and an IEEE Computer Society Golden Core member.

Affiliations and Expertise

Farmer Distinguished Chair and Georgia Research Alliance Eminent Scholar at the Georgia Institute of Technology

High-Performance Embedded Computing, 2nd Edition

CHAPTER 1 Embedded Computing
1.1. The landscape of high-performance embedded computing
1.2. Cyber-physical systems and embedded computing
1.3. Design methodologies
1.4. Models of computation
1.5. Reliability, safety, and security
1.6. Consumer electronics architectures
1.7. Summary and a look ahead
What we learned
Further reading
Questions
Lab exercises

CHAPTER 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. Encoding and security
2.8. CPU simulation
2.9. Automated CPU design
2.10. Summary
What we learned
Further reading
Questions
Lab exercises

CHAPTER 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 have learned
Further reading
Questions
Lab exercises

CHAPTER 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 have learned
Further reading
Questions
Lab exercises

CHAPTER 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 have learned
Further reading
Questions
Lab exercises

CHAPTER 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 have learned
Further reading
Questions
Lab exercises

CHAPTER 7 System-Level Design and Hardware/Software Co-design
7.1. Introduction
7.2. Performance estimation
7.3. Hardware/software co-synthesis algorithms
7.4. Electronic system-level design
7.5. Thermal-aware design
7.6. Reliability
7.7. System-level simulation
7.8. Summary
What we have learned
Further reading
Questions
Lab exercises

CHAPTER 8 Cyber-Physical Systems
8.1. Introduction
8.2. Control theory and systems
8.3. Control/computing co-design
8.4. Networked control systems
8.5. Design methodologies
8.6. Security
8.7. Summary
What we have learned
Further reading
Questions
Lab exercises

Glossary
References
Index

 
 
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