Structured Parallel Programming: Patterns for Efficient Computation

July 25, 2012  [MK] Maria

 

Morgan Kaufmann is excited to announce the recent publication of Structured Parallel Programming: Patterns for Efficient Computation, 1st Edition by Michael McCool, James Reinders, and Arch Robison.

About the Book

The simplest way for developers to learn patterns for high-performance parallel programming.

Programming is now parallel programming. Much as structured programming revolutionized traditional serial programming decades ago, a new kind of structured programming, based on patterns, is relevant to parallel programming today. Parallel computing experts and industry insiders Michael McCool, Arch Robison, and James Reinders describe how to design and implement maintainable and efficient parallel algorithms using a pattern-based approach. They present both theory and practice, and give detailed concrete examples using multiple programming models. Examples are primarily given using two of the most popular and cutting edge programming models for parallel programming: Threading Building Blocks, and Cilk Plus. These architecture-independent models enable easy integration into existing applications, preserve investments in existing code, and speed the development of parallel applications. Examples from realistic contexts illustrate patterns and themes in parallel algorithm design that are widely applicable regardless of implementation technology.

Key Features

  • The patterns-based approach offers structure and insight that developers can apply to a variety of parallel programming models
  • Develops a composable, structured, scalable, and machine-independent approach to parallel computing
  • Includes detailed examples in both Cilk Plus and the latest Threading Building Blocks, which support a wide variety of computers

Who Should Read this Book:

Software developers, computer programmers, and software architects.

Table of Contents includes:

1 Introduction
2 Background
Part I: Patterns
3 Patterns
4 Map
5 Collectives
6 Data Reorganization
7 Fork-Join
8 Pipeline
Part II: Examples
9 Forward Seismic Simulation
10 K-Means Clustering
11 Bzip2 Data Compression
12 Merge Sort
13 Sample Sort
14 Cholesky Factorization
Part III: Appendices
A Further Reading
B Cilk Plus
C TBB
D C++11
E Glossary

ISBN: 9780124159938 |

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