Parallel Programming with Microsoft .NET: Design Patterns for Decomposition and Coordination on Multicore Architectures (Colin Campbell, et al)

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Parallel Programming with Microsoft .NET: Design Patterns for Decomposition and Coordination on Multicore Architectures (Colin Campbell, et al)

Design patterns for Decomposition and Coordination on Multicore Architectures are introduced in this book. Instead of the cluster, High Performance Computing (HPC) Server technique that uses networked nodes with distributed memory, it describes parallelism within a single multicore node with shared memory.

It demonstrates how C# and VB.NET programmers may successfully utilise the multicore capabilities of contemporary PCs running the Microsoft platform. The issue is visible on the CPU metre. All except one core is idle while the other cores are operating at full capacity. Despite the fact that your application is CPU-bound, you are only using a small portion of the multicore system's processing capability. Next, what?

Parallel programming, in a nutshell, is the solution. Where earlier you would have written the familiar to all programmers sequential code, you now discover that this does not fulfil your performance objectives. You must divide your application into concurrently running components in order to make effective use of the CPU resources on your machine. It's simpler to say than to do. The practise of parallel programming has a reputation for being a minefield of subtle, difficult-to-reproduce software flaws and the purview of experts.

Parallel tasks, parallel tasks and data aggregation using map-reduce are a few examples of these patterns. There is a chapter for each motif. Each chapter contains an explanation of the issue, an illustration of how the solution may be used, and the relevant code.

This book focuses more on processor-bound workloads than on I/O-bound workloads. The goal is to make computationally intensive applications run faster by making better use of the computer's available cores.

Ebook Details

About the Authors
  • Colin Campbell is a coauthor of Model-Based Software Testing and Analysis in C# and he has written several academic papers on mathematically rigorous approaches to software analysis. He is a founder and principal at Modeled Computation LLC, in Seattle.
  • Ade Miller works as a Development Lead with Microsoft's patterns & practices group, where he manages several agile teams who deliver applied engineering guidance to Microsoft's customers. His primary interests are in parallel computing and agile software development practices.
  • Ralph Johnson is a research associate professor at the University of Illinois. He was one of the four co-authors of Design Patterns, and the leader of the group that developed the first automated refactoring tool, the Smalltalk Refactoring Browser. For the past few years, he has been working on documenting patterns of parallel programming.
Published Date / Year
1 edition (August 31, 2010)
224 pages
eBook Format
Online, HTML
0735651590 (eBook: 0-7356-5162-0)
978-0735651593 (eBook: 978-0-7356-5162-3)

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