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《高性能嵌入式计算（英文版·第2版）》第2版经过全面更新和扩展，涵盖了现代高性能嵌入式系统设计领域使用的广泛技术。现在智能手机、飞机、汽车、电力设备、医疗设备等许多应用都在使用嵌入式多处理器，所以让系统设计人员理解这些复杂技术必须依赖越来越复杂的硬件、软件和设计方法是非常重要的。

Wolf教授采用一种独特的量化方法来论述现代嵌入式计算系统的设计，解释如何定义和实现性能、功耗和成本的量化目标。贯穿全书的实际应用使得本书对专业人员、研究人员和学生来说都是及时且非常有价值的资源。

第2版主要特点：

包含全新的一章，讨论信息物理系统（CPS）——将控制理论和嵌入式计算相结合的新兴智能系统。

讨论嵌入式计算的高级主题，包括针对嵌入式系统的热感知设计、可配置处理器、实时约束和功耗的软件优化、异构多处理器和嵌入式中间件。

深入讨论网络、可重配置系统、软硬件协同设计、安全和程序分析。

Preface to the Second Edition

Preface to the First Edition

Acknowledgments

CHAPTER l

Embedded Computing

1.1. The landscape of high-performance embedded

computing .

1.2. Cyber-physical systems and embedded computing.

1.2.1. Vehicle control and operation

1.2.2. Medical devices and systems.

1.2.4. Radio and networking.

1.2.5. Multimedia.

1.3. Design methodologies .

1.3.1. Why use design methodologies?

1.3.2. Design goals .

1.3.3. Basic design methodologies

1.3.4. Embedded system design flows

1.3.5. Standards-based design methodologies

1.3.6. Design verification and validation

1.3.7. A methodology of methodologies

1.3.8. Joint algorithm and architecture development

1.4.1. Why study models of computation?.

1.4.3. Stream-oriented models

1.4.4. Representations of state and control.

1.4.5. Parallelism and communication

1.4.6. Sources and uses of parallelism

1.5. Reliability, safety, and security. . .

1.5.1. Why reliable embedded systems?.

1.5.2. Fundamentals of reliable system design.

1.5.3. Novel attacks and countermeasures

1.6. Consumer electronics architectures.

1.6.2．WiFi

?CHAPTER 2

1.6.3. Networked consumer devices

1.6.4. High-level services

1.7. Summary and a look ahead.

What we learned

Further reading

Lab exercises .

CPUS

2.2. Comparing processors. :::::::::::::I:i

2.2.3. Embedded vs. general-purpose processors.

2.3. RISC processors and digital signal processors

2.3.1. RISC processors “{

2.3.2. Digital signal processors i

2.4. Parallel execution mechanisms.

2.4.1. Very long instruction word processors . :

2.4.2. Superscalar processors

2.4.3. SIMD and vector processors.

2.4.4. Thread-levelparallelism

2.4.5. GPUs

2.4.6. Processor resource utilization.

2.5. Variable-performance CPU architectures ,.

2.5.1. Dynamic voltage and frequency scaling.

2.5.2. Reliability and error-aware computing.

2.6. Ptocessor memory hierarchy.

2.6.1. Memory component models .

2.6.4. Scratch pad memory

2.7. Encoding and security

2.7.1. Code compression

2.7.3. Low-power bus encoding

2.8.2. Direct execution .

2.8.3. Microarchitecture-modeling simulators

?CHAPTER 3

2.8.4. Power and thermal simulation and modeling

2.9. Automated CPU design.

2.9.1. Configurable processors

2.9.2. Instruction set synthesis

2.10. Summary.

What we learned

Further reading :.

Lab exercises .

ProgramS

3.1．Introduction

3.2. Code generation and back-end compilation

3.2.1. Models for instructions .

3.2.2. Register allocation.

3.2.3. Instruction selection and scheduling.

3.2.5. Programming environments

3.3. Memory-oriented optimizations

3.3.1. Loop transformations

3.3.2. Global optimizations.

3.3.3. Buffer, data transfer, and storage management

3.3.4. Cache- and scratch pad-oriented

3.3.5. Main memory-oriented optimizations

3.4. Program performance analysis

3.5. Models of computation and programming

3.5.1. Interrupt-oriented languages .

3.5.2. Data flow languages

3.5.3. Control-oriented languages

3.5.4. Java

3.5.5. Heterogeneous models of computation .

Lab exercises .

?CHAPTER 4 Processes and Operating Systems.

4.1. Intrc)dLicti

4.2. Rcal-tiI11c pi‘‘)ce~N schecluling

4.2.1. Prclinlinarie~

4.2.2. Rcal-ti111c、cllcLlulillg Lllg()lillll11、

4.2.3. Multi-crilicalily~cllccluling. .

4.2.4. Scheduling l'or dynamic x【)ltagc all Ll rrequency

4.2.5. Pcilbrma]icc esliniati()11 .

4.3. I.angumgcs andschcclulin.

4.4. Opcrating~ysfem【le~ign

4.4.1. Mc ry l11anagcmcnt in cnlhc Ll(lccl operating

4.4.2. Siructurc()I' a rcal-ti

4.4.3. Opcratillg systen vcrhcacl .

4.4.4. Support for schcduling.

4.4.5. Intcrprc)ccss c: nuIlica“ion l11cchalli、ms.

4.4.6. Pc)we~

4.4.7. File systcms in cmheclclcd dcviccs.

4.5. VcriIic:Itic,n

Furthcr readillg

Queslion、

IJab excrcii

CHAPTER 5

M ultiprocessor Architectures ._ - _ _.-.,

5.1. IntrodLicti【)【1 .

5.2. Why embccldccl multiproccssors? .

5.2.1. Rcquircmenti, on cmhcctdcd systcins.

5.2.2. PeI'1i)1·111:lIlce and cllcl1掣y

5.2.3. Spccializaiion ancl l¨ultiproccN~【)rs.

5.2.4. Flcxihiiily and cllicicllcv

5.3. Multipn)cchsor dcsign Icchiiiq LIe、. . .

5.3.1. Multiproccssor dcsign iiicilic)dc)l‘)gics .

5.3.2. Mulciprocesm)r moclcling zind ,i lalion.

5.4. MultipI‘()ceswr architccturch

5.5. Prc,cessing clcincnts

5.6. Intercc)iincction network

5.6.2. Nciwc)rk topo~gics .

5.6.3. I《)Ll[in!:lIl(1 ll¨w c Irc)

5.6.4. Nctworkh-c)li-chil)、

?CHAPTER 6

CHAPTER 7

5.7. Memory systems

5.8. Physically distributed systems and networks

5.8.2. Time-triggered architecture.

5.9. Multiprocessor design methodologies

What we have learned .

Questions

Multiprocessor Software ¨

6.2. What is different about embedded multiprocessor

6.3. Real-time multiprocessor operating systems .

6.3.2. Multiprocessor scheduling

6.3.3. Scheduling with dynamic tasks ,,.

6.4. Services and middleware for embedded

multiprocessors

6.4.1. Standards-based services

6.4.2. System-on-chip services

6.5. Design verification

What we have learned

System-Level Design and Hardware/Software

7.2. Performance estimation

7.2.1. High-level synthesis .

7.2.2. Accelerator estimation

?CHAPTER 8

(JlOi,sary .

Refercnccs

7.3. Hardware/softwarc c‘)一i,ynthcSiS algoriiiil11s

7.3.2. Platform rcprchentati(1n~

7.3.3. Tcmplatc-clrivcn syiithcsis alg()rithn" .

7.3.4. Co-synthcsis or gcncral Inultipr‘)cessors

7.3.5. Multi一()hjcctive optimization

7.3.7. Mcmory systcms

7.3.8. Co-synthcsis 11)r iec()nfigurahic hystems

7.4. Electronic syi,tcm-lcvcl dcsigI1

7.5. Thcrmal-aware dCsign .

7.6. Reliability .

7.7. Syi,tem-Icvcl simulation .

What wc. havc lcarncd .

Furthcr rcacling .

Lab excrciscs

Cyber-Physical Systems .

8.1. IntrodLicti()11.

8.2.C【)nIrol thc()ry zmcl hyStC nlS.

8.3. Conll’()l/cmnpuling co-clcsi:Jn

8.4. Netxvc)rke~

8.5. Dcsign mcihociologie~ .

8.5.1. Moclcl-basccl design

What wc havc learned .

Furthcr rcading

I_zih cxcrciscs .

玛里琳·沃尔夫（Marilyn Wolf） 佐治亚理工学院教授，佐治亚研究联合会优秀学者。她分别于1980年、1981年和1984年获得斯坦福大学电子工程学士学位、硕士学位和博士学位。1984年至1989年任职于贝尔实验室，1989年至2007年执教于普林斯顿大学。她是IEEE和ACM会士、IEEE计算机协会核心成员以及ASEE和SPIE成员。她于2003年获得ASEE Frederick E. Terman奖，于2006年获得IEEE电路与系统教育奖。她的研究兴趣主要包括嵌入式计算、嵌入式视频和计算机视觉、VLSI系统。

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书籍介绍

《高性能嵌入式计算（英文版·第2版）》第2版经过全面更新和扩展，涵盖了现代高性能嵌入式系统设计领域使用的广泛技术。现在智能手机、飞机、汽车、电力设备、医疗设备等许多应用都在使用嵌入式多处理器，所以让系统设计人员理解这些复杂技术必须依赖越来越复杂的硬件、软件和设计方法是非常重要的。

Wolf教授采用一种独特的量化方法来论述现代嵌入式计算系统的设计，解释如何定义和实现性能、功耗和成本的量化目标。贯穿全书的实际应用使得本书对专业人员、研究人员和学生来说都是及时且非常有价值的资源。

第2版主要特点：

包含全新的一章，讨论信息物理系统（CPS）——将控制理论和嵌入式计算相结合的新兴智能系统。

讨论嵌入式计算的高级主题，包括针对嵌入式系统的热感知设计、可配置处理器、实时约束和功耗的软件优化、异构多处理器和嵌入式中间件。

深入讨论网络、可重配置系统、软硬件协同设计、安全和程序分析。