04356nam 2200649 a 450 991081374970332120200520144314.01-281-00410-397866110041010-08-047500-0(CKB)1000000000364141(EBL)291714(OCoLC)437178439(SSID)ssj0000171059(PQKBManifestationID)11922758(PQKBTitleCode)TC0000171059(PQKBWorkID)10225566(PQKB)11537992(Au-PeEL)EBL291714(CaPaEBR)ebr10172791(CaONFJC)MIL100410(CaSebORM)9780123694850(MiAaPQ)EBC291714(OCoLC)824140462(OCoLC)ocn824140462 (EXLCZ)99100000000036414120060720d2007 uy 0engur|n|---|||||txtccrHigh-performance embedded computing architectures, applications, and methodologies /Wayne Wolf1st ed.Amsterdam ;Boston Elsevier/Morgan Kaufmann Publishersc20071 online resource (542 p.)Description based upon print version of record.0-12-369485-X Includes bibliographical references (p. 467-499) and index.Front cover; About the Author; Title page; Copyright page; Supplemental Materials; Table of contents; Preface; 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; 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 Architectures2.6 Processor Memory Hierarchy2.7 Additional CPU Mechanisms; 2.8 CPU Simulation; 2.9 Automated CPU Design; 2.10 Summary; 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; 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; 5 Multiprocessor Architectures; 5.1 Introduction; 5.2 Why Embedded Multiprocessors?5.3 Multiprocessor Design Techniques5.4 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; 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; 7 Hardware and Software Co-design; 7.1 Introduction; 7.2 Design Platforms7.3 Performance Analysis7.4 Hardware/Software Co-synthesis Algorithms; 7.5 Hardware/Software Co-simulation; 7.6 Summary; Glossary; References; IndexOver 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, AppliEmbedded computer systemsHigh performance computingEmbedded computer systems.High performance computing.004.16Wolf Wayne28119MiAaPQMiAaPQMiAaPQBOOK9910813749703321High-performance embedded computing4097755UNINA