Parallel Programming With Microsoftnet

Download Parallel Programming With Microsoftnet full books in PDF, epub, and Kindle. Read online free Parallel Programming With Microsoftnet ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Parallel Programming with Microsoft.NET

Parallel Programming with Microsoft.NET
Author :
Publisher : Microsoft Press
Total Pages : 0
Release :
ISBN-10 : 0735651590
ISBN-13 : 9780735651593
Rating : 4/5 (593 Downloads)

Book Synopsis Parallel Programming with Microsoft.NET by : Colin Campbell

Download or read book Parallel Programming with Microsoft.NET written by Colin Campbell and published by Microsoft Press. This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The CPU meter shows the problem. One core is running at 100 percent, but all the other cores are idle. Your application is CPU-bound, but you are using only a fraction of the computing power of your multicore system. What next? The answer, in a nutshell, is parallel programming. Where you once would have written the kind of sequential code that is familiar to all programmers, you now find that this no longer meets your performance goals. To use your system's CPU resources efficiently, you need to split your application into pieces that can run at the same time. This is easier said than done. Parallel programming has a reputation for being the domain of experts and a minefield of subtle, hard-to-reproduce software defects. Everyone seems to have a favorite story about a parallel program that did not behave as expected because of a mysterious bug. These stories should inspire a healthy respect for the difficulty of the problems you face in writing your own parallel programs. Fortunately, help has arrived. Microsoft Visual Studio(R) 2010 introduces a new programming model for parallelism that significantly simplifies the job. Behind the scenes are supporting libraries with sophisticated algorithms that dynamically distribute computations on multicore architectures. Proven design patterns are another source of help. A Guide to Parallel Programming introduces you to the most important and frequently used patterns of parallel programming and gives executable code samples for them, using the Task Parallel Library (TPL) and Parallel LINQ (PLINQ).


Parallel Programming with Microsoft.NET Related Books

Parallel Programming with Microsoft.NET
Language: en
Pages: 0
Authors: Colin Campbell
Categories: Computers
Type: BOOK - Published: 2010 - Publisher: Microsoft Press

DOWNLOAD EBOOK

The CPU meter shows the problem. One core is running at 100 percent, but all the other cores are idle. Your application is CPU-bound, but you are using only a f
Pro .NET 4 Parallel Programming in C#
Language: en
Pages: 325
Authors: Adam Freeman
Categories: Computers
Type: BOOK - Published: 2011-01-11 - Publisher: Apress

DOWNLOAD EBOOK

Parallel programming has been revolutionised in .NET 4, providing, for the first time, a standardised and simplified method for creating robust, scalable and re
Parallel Programming with Microsoft Visual Studio 2010
Language: en
Pages: 250
Authors: Donis Marshall
Categories: Computers
Type: BOOK - Published: 2011 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

The roadmap for developers wanting to maximize their applications for multi-core architecture using Visual Studio 2010.
Professional Parallel Programming with C#
Language: en
Pages: 634
Authors: Gastón C. Hillar
Categories: Computers
Type: BOOK - Published: 2010-12-08 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Expert guidance for those programming today’s dual-core processors PCs As PC processors explode from one or two to now eight processors, there is an urgent ne
Hands-On Parallel Programming with C# 8 and .NET Core 3
Language: en
Pages: 328
Authors: Shakti Tanwar
Categories: Computers
Type: BOOK - Published: 2019-12-20 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Enhance your enterprise application development skills by mastering parallel programming techniques in .NET and C# Key FeaturesWrite efficient, fine-grained, an