Advanced Computer Architecture and Parallel Processing

An outstanding resource for mastering computer architecture and parallel processing
This text enables students and practitioners to quickly master the complexities of advanced computer architecture and parallel processing. The authors have drawn from their own experience to present outstanding coverage of the complexities of advanced computer architecture and parallel processing. Using real–world examples and case studies, students and practitioners will understand the interaction between the hardware and software parts of the system. Focussing on practical solutions—from architectural to software issues—the book discusses key topics including:Multiprocessors interconnection networksPerformance analysis of multiprocessor architectureShared memory architectureMessage passing architectureAbstract modelsNetwork computingParallel programming in PVMMessage passing interface (MPI)Scheduling and task allocation
The logical organization of the text is designed to help readers build on their knowledge as they progress from one chapter to the next: from problem sets based on actual issues in the workplace that test readers′ knowledge, to end–of–chapter references directing readers to additional sources for in–depth research, and chapter summaries offering a concise overview of the key points.
With its comprehensive coverage, Advanced Computer Architecture and Parallel Processing simplifies course material development for instructors and helps readers learn faster, thanks to its logical organization, clear style, and practical examples. It is an excellent learning aid for both graduate and undergraduate students in electrical engineering, computer engineering, and computer science. Moreover, engineers and programmers will find it to be an outstanding on–the–job reference.

Spis treści:
1. Introduction to Advanced Computer Architecture and Parallel Processing.
1.1 Four Decades of Computing.
1.2 Flynn’s Taxonomy of Computer Architecture.
1.3 SIMD Architecture.
1.4 MIMD Architecture.
1.5 Interconnection Networks.
1.6 Chapter Summary.
Problems.
References.
2. Multiprocessors Interconnection Networks.
2.1 Interconnection Networks Taxonomy.
2.2 Bus–Based Dynamic Interconnection Networks.
2.3 Switch–Based Interconnection Networks.
2.4 Static Interconnection Networks.
2.5 Analysis and Performance Metrics.
2.6 Chapter Summary.
Problems.
References.
3. Performance Analysis of Multiprocessor Architecture.
3.1 Computational Models.
3.2 An Argument for Parallel Architectures.
3.3 Interconnection Networks Performance Issues.
3.4 Scalability of Parallel Architectures.
3.5 Benchmark Performance.
3.6 Chapter Summary.
Problems.
References.
4. Shared Memory Architecture.
4.1 Classification of Shared Memory Systems.
4.2 Bus–Based Symmetric Multiprocessors.
4.3 Basic Cache Coherency Methods.
4.4 Snooping Protocols.
4.5 Directory Based Protocols.
4.6 Shared Memory Programming.
4.7 Chapter Summary.
Problems.
References.
5. Message Passing Architecture.
5.1 Introduction to Message Passing.
5.2 Routing in Message Passing Networks.
5.3 Switching Mechanisms in Message Passing.
5.4 Message Passing Programming Models.
5.5 Processor Support for Message Passing.
5.6 Example Message Passing Architectures.
5.7 Message Passing Versus Shared Memory Architectures.
5.8 Chapter Summary.
Problems.
References.
6. Abstract Models.
6.1 The PRAM Model and Its Variations.
6.2 Simulating Multiple Accesses on an EREW PRAM.
6.3 Analysis of Parallel Algorithms.
6.4 Computing Sum and All Sums.
6.5 Matrix Multiplication.
6.6 Sorting.
6.7 Message Passing Model.
6.8 Leader Election Proble m.
6.9 Leader Election in Synchronous Rings.
6.10 Chapter Summary.
Problems.
References.
7. Network Computing.
7.1 Computer Networks Basics.
7.2 Client/Server Systems.
7.3 Clusters.
7.4 Interconnection Networks.
7.5 Cluster Examples.
7.6 Grid Computing.
7.7 Chapter Summary.
Problems.
References.
8. Parallel Programming in the Parallel Virtual Machine.
8.1 PVM Environment and Application Structure.
8.2 Task Creation.
8.3 Task Groups.
8.4 Communication Among Tasks.
8.5 Task Synchronization.
8.6 Reduction Operations.
8.7 Work Assignment.
8.8 Chapter Summary.
Problems.
References.
9. Message Passing Interface (MPI).
9.1 Communicators.
9.2 Virtual Topologies.
9.3 Task Communication.
9.4 Synchronization.
9.5 Collective Operations.
9.6 Task Creation.
9.7 One–Sided Communication.
9.8 Chapter Summary.
Problems.
References.
10 Scheduling and Task Allocation.
10.1 The Scheduling Problem.
10.2 Scheduling DAGs without Considering Communication.
10.3 Communication Models.
10.4 Scheduling DAGs with Communication.
10.5 The NP–Completeness of the Scheduling Problem.
10.6 Heuristic Algorithms.
10.7 Task Allocation.
10.8 Scheduling in Heterogeneous Environments.
Problems.
References.

Nota biograficzna:
HESHAM EL–REWINI, PHD, PE, is a full professor and chairman of the Department of Computer Sciences and Engineering at Southern Methodist University (SMU). He has co–authored several books, published numerous research papers in journals and conference proceedings, and chaired many international conferences.
MOSTAFA ABD–EL–BARR, PHD, PEnG, is a professor and chairman of the Department of Information Science at Kuwait University. He has co–authored two other books, published more than 120 research papers in journals and conference proceedings, and served as chair for a number of international conferences and symposia.

Okładka tylna:
An outstanding resource for mastering computer architecture and parallel processing
This text enables students and practitioners to quickly master the complexities of advanced computer architecture and parallel processing. The authors have drawn from their own experience to present outstanding coverage of the complexities of advanced computer architecture and parallel processing. Using real–world examples and case studies, students and practitioners will understand the interaction between the hardware and software parts of the system. Focussing on practical solutions—from architectural to software issues—the book discusses key topics including:Multiprocessors interconnection networksPerformance analysis of multiprocessor architectureShared memory architectureMessage passing architectureAbstract modelsNetwork computingParallel programming in PVMMessage passing interface (MPI)Scheduling and task allocation
The logical organization of the text is designed to help readers build on their knowledge as they progress from one chapter to the next: from problem sets based on actual issues in the workplace that test readers′ knowledge, to end–of–chapter references directing readers to additional sources for in–depth research, and chapter summaries offering a concise overview of the key points.
With its comprehensive coverage, Advanced Computer Architecture and Parallel Processing simplifies course material development for instructors and helps readers learn faster, thanks to its logical organization, clear style, and practical examples. It is an excellent learning aid for both graduate and undergraduate students in electrical engineering, computer engineering, and computer science. Moreover, engineers and programmers will find it to be an