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ISBN 10: 0321228111
ISBN 13: 9780321228116
Author: Timothy G Mattson, Beverly Sanders, Berna Massingill
This is the eBook version of the printed book. If the print book includes a CD-ROM, this content is not included within the eBook version. The Parallel Programming Guide for Every Software Developer From grids and clusters to next-generation game consoles, parallel computing is going mainstream. Innovations such as Hyper-Threading Technology, HyperTransport Technology, and multicore microprocessors from IBM, Intel, and Sun are accelerating the movement's growth. Only one thing is missing: programmers with the skills to meet the soaring demand for parallel software. That's where Patterns for Parallel Programming comes in. It's the first parallel programming guide written specifically to serve working software developers, not just computer scientists. The authors introduce a complete, highly accessible pattern language that will help any experienced developer "think parallel"-and start writing effective parallel code almost immediately. Instead of formal theory, they deliver proven solutions to the challenges faced by parallel programmers, and pragmatic guidance for using today's parallel APIs in the real world. Coverage includes: Understanding the parallel computing landscape and the challenges faced by parallel developers Finding the concurrency in a software design problem and decomposing it into concurrent tasks Managing the use of data across tasks Creating an algorithm structure that effectively exploits the concurrency you've identified Connecting your algorithmic structures to the APIs needed to implement them Specific software constructs for implementing parallel programs Working with today's leading parallel programming environments: OpenMP, MPI, and Java Patterns have helped thousands of programmers master object-oriented development and other complex programming technologies. With this book, you will learn that they're the best way to master parallel programming too. 0321228111B08232004
1 A Pattern Language for Parallel Programming
1.1 Introduction
1.2 Parallel Programming
1.3 Design Patterns and Pattern Languages
1.4 A Pattern Language for Parallel Programming
2 Background and Jargon of Parallel Computing
2.1 Concurrency in Parallel Programs Versus Operating Systems
2.2 Parallel Architectures: A Brief Introduction
2.2.1 Flynn’s Taxonomy
2.2.2 A Further Breakdown of MIMD
2.2.3 Summary
2.3 Parallel Programming Environments
2.4 The Jargon of Parallel Computing
2.5 A Quantitative Look at Parallel Computation
2.6 Communication
2.6.1 Latency and Bandwidth
2.6.2 Overlapping Communication and Computation and Latency Hiding
2.7 Summary
3 The Finding Concurrency Design Space
3.1 About the Design Space
3.1.1 Overview
3.1.2 Using the Decomposition Patterns
3.1.3 Background for Examples
3.2 The Task Decomposition Pattern
3.3 The Data Decomposition Pattern
3.4 The Group Tasks Pattern
3.5 The Order Tasks Pattern
3.6 The Data Sharing Pattern
3.7 The Design Evaluation Pattern
3.8 Summary
4 The Algorithm Structure Design Space
4.1 Introduction
4.2 Choosing an Algorithm Structure Pattern
4.2.1 Target Platform
4.2.2 Major Organizing Principle
4.2.3 The Algorithm Structure Decision Tree
4.2.4 Re-evaluation
4.3 Examples
4.3.1 Medical Imaging
4.3.2 Molecular Dynamics
4.4 The Task Parallelism Pattern
4.5 The Divide and Conquer Pattern
4.6 The Geometric Decomposition Pattern
4.7 The Recursive Data Pattern
4.8 The Pipeline Pattern
4.9 The Event-Based Coordination Pattern
5 The Supporting Structures Design Space
5.1 Introduction
5.1.1 Program Structuring Patterns
5.1.2 Patterns Representing Data Structures
5.2 Forces
5.3 Choosing the Patterns
5.4 The SPMD Pattern
5.5 The Master/Worker Pattern
5.6 The Loop Parallelism Pattern
5.7 The Fork/Join Pattern
5.8 The Shared Data Pattern
5.9 The Shared Queue Pattern
5.10 The Distributed Array Pattern
5.11 Other Supporting Structures
5.11.1 SIMD
5.11.2 MPMD
5.11.3 Client-Server Computing
5.11.4 Concurrent Programming with Declarative Languages
5.11.5 Problem-Solving Environments
6 The Implementation Mechanisms Design Space
6.1 Overview
6.2 UE Management
6.2.1 Thread Creation/Destruction
6.2.2 Process Creation/Destruction
6.3 Synchronization
6.3.1 Memory Synchronization and Fences
6.3.2 Barriers
6.3.3 Mutual Exclusion
6.4 Communication
6.4.1 Message Passing
6.4.2 Collective Communication
6.4.3 Other Communication Constructs
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Tags: Timothy G Mattson, Beverly Sanders, Berna Massingill, parallel, programming
