Research and Markets: Structured Parallel Programming. Patterns for Efficient Computation

Research and Markets (http://www.researchandmarkets.com/research/4lssqg/structured_paralle) has announced the addition of Elsevier Science and Technology's new report "Structured Parallel Programming. Patterns for Efficient Computation" to their offering.

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

Topics Covered:

1. Introduction

2. Map

3. Collectives

4. Data reorganization

5. Fork-join

6. Examples

7. Further Reading

Authors:

McCool, Michael.

Reinders, James.

Robison, Arch.

For more information visit http://www.researchandmarkets.com/research/4lssqg/structured_paralle

Source: Elsevier Science and Technology