并行程序設(shè)計（技術(shù)與應(yīng)用影印版）

CHAPTER 1 PARALLEL COMPUTERS
1.1 The Demand for Computational Speed
1.2 Types of Parallel Computers
1.3 Architectural Features of Message-Passing Multicomputers
1.4 Networked Computers as a Multicomputer Platform
1.5 Potential for Increased Computational Speed
1.6 Summary
CHAPTER 2 MESSAGE-PASSING COMPUTING
2.1 Basics of Message-Passing Programming
2.2 Using Workstation Clusters
2.3 Evaluating Parallel Programs
2.4 Debugging and Evaluating Parallel Programs
2.5 Summary
CHAPTER 3 EMBARRASSINGLY PARALLEL COMPUTATIONS
3.1 Ideal Paratle l Computation
3.2 Embarrassingly Parallel Examples
3.3 Summary
CHAPTER 4 PARTITIONING AND DIVIDE-AND-CONOUER STRATEGIES
4.1 Partitioning
4.2 Divide-and-Conquer Examples
4.3 Summary
CHAPTER 5 PIPELINED COMPUTATIONS
5.1 Pipeline Technique
5.2 Computing Platform for Pipelined Applications
5.3 Pipeline Program Examples
5.4 Summary
CHAPTER 6 SYNCHRONOUS COMPUTATIONS
6.1 Synchronization
6.2 Synchronized Computations
6.3 Synchronous Iteration Ptogram Examples
6.4 Summary
CHAPTER 7 LOAD BALANCING AND TERMINATfON DETECTION
7.1 Load Balancing
7.2 Dynamic Load Balancing
7.3 Distributed Termination Detection Algorithms
7.4 Program Example
7.5 Summary
CHAPTER 8 PROGRAMMING WITH SHARED MEMORY
8.1 Shared Memory Multiprocessors
8.2 Constructs for Specifying Parallelism
8.3 Sharing Data
8.4 Program Examples
8.5 Summary
PARTII ALGORITHMS AND APPLICATIONS
CHAPTER 9 SORTING ALGORITHMS
9.1 General
9.2 Compare-and-Exchange Soning Algorithms
9.3 Summary
CHAPTER 10 NUMERIOAL ALGORITHMS
1O.1 Matrices - A Review
10.2 Implementing Mauix Multiplication
1O.3 Solving a System of Linear Equations
10.4 Iterative Methods
1O.5 Summary
CHAPTER 11 IMAGE PROOESSING
11.1 Low-Level Image Processing
11.2 Point Proeessing
11.3 Histogram
11.4 Smoothing, Sharpening, and Noise Reduction
11.5 Edge Detection
11.6 The Hough Transform
11.7 Transformation into the Frequency Domain
11.8 Summary
CHAPTER 12 SEARCHfNG AND OPTMUZATION
12.1 Applications and Techniques
12.2 Branch-and-Bound Search
12.3 Genetic Algorithms
12.4 Successive Refinement
12.5 Hill Climbing
12.6 Summary
APPENDIX A BASIC PVM ROUTINES
APPENDIX B BASIO MPI ROUTINES
APPENDIX C BASIC PTHREAD ROUTINES
APPENDIX D PARALLEL COMPUTA TION MODELS
INDEX