Patterns for parallel programming rapidshare

Kirk, Wen-mei W. Structured Parallel Programming offers the simplest way for developers to learn patterns for high-performance parallel programming.

Skip to main content. Start your free trial. Patterns for Parallel Programming by. Book description The Parallel Programming Guide for Every Software Developer From grids and clusters to next-generation game consoles, parallel computing is going mainstream. 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.

Table of contents Product information. Generally, a download manager enables downloading of large files or multiples files in one session. Many web browsers, such as Internet Explorer 9, include a download manager. Stand-alone download managers also are available, including the Microsoft Download Manager. The Microsoft Download Manager solves these potential problems.

It gives you the ability to download multiple files at one time and download large files quickly and reliably. It also allows you to suspend active downloads and resume downloads that have failed. Microsoft Download Manager is free and available for download now.

Warning: This site requires the use of scripts, which your browser does not currently allow. See how to enable scripts. NET Framework 4. Choose the download you want. Download Summary:. Total Size: 0. Back Next. Like all programs, parallel programs contain many patterns : useful ways of writing code that are used repeatedly by most developers because they work well in practice.

These patterns have been documented by developers over time so that useful ways of organizing and writing good parallel code can be learned by new programmers and even seasoned veterans. When writing parallel programs, developers use patterns that can be grouped into two main categories:. When you set out to write a program, whether it is parallel or not, you should be considering two primary strategic considerations:.

In the examples in this document we introduce some well-used patterns for both algorithmic strategies and implementation strategies. Parallel algorithmic strategies primarily have to do with making choices about what tasks can be done concurrently by multiple processing units executing concurrently. Parallel programs often make use of several patterns of implementation strategies. Some of these patterns contribute to the overall structure of the program, and others are concerned with how the data that is being computed by multiple processing units is structured.

As you will see, the patternlets introduce more algorithmic strategy patterns and program structure implementation strategy patterns than data structure implementation strategy patterns.