A Parallel Programming

A Parallel Programming with Microsoft Visual C++ (Repost)  

Posted by advisors at April 11, 2013
A Parallel Programming with Microsoft Visual C++ (Repost)

A Parallel Programming with Microsoft Visual C++: Design Patterns for Decomposition and Coordination on Multicore Architectures By Colin Campbell, Ade Miller
2011 | 208 Pages | ISBN: 0735651752 | EPUB + PDF | 4 MB + 6 MB

A Parallel Programming with Microsoft Visual C++ (Repost)  

Posted by arundhati at June 10, 2012
A Parallel Programming with Microsoft Visual C++ (Repost)

Colin Campbell, Ade Miller, "A Parallel Programming with Microsoft Visual C++: Design Patterns for Decomposition and Coordination on Multicore Architectures"
2011 | ISBN-10: 0735651752 | EPUB, PDF | 208 pages | 4,4 + 8,6 MB

A Parallel Programming with Microsoft Visual C++ (Repost)  

Posted by arundhati at May 20, 2012
A Parallel Programming with Microsoft Visual C++ (Repost)

Colin Campbell, Ade Miller, "A Parallel Programming with Microsoft Visual C++: Design Patterns for Decomposition and Coordination on Multicore Architectures"
2011 | ISBN-10: 0735651752 | EPUB, MOBI | 208 pages | 4,4 + 3,9 MB
A Parallel Programming with Microsoft Visual C++: Design Patterns for Decomposition and Coordination on Multicore Architectures

A Parallel Programming with Microsoft Visual C++: Design Patterns for Decomposition and Coordination on Multicore Architectures By Colin Campbell, Ade Miller
Publisher: Microsoft Press 2011 | 208 Pages | ISBN: 0735651752 | PDF + EPUB | 4 MB + 5 MB

Coursera - Heterogeneous Parallel Programming  eBooks & eLearning

Posted by house23 at June 19, 2016
Coursera - Heterogeneous Parallel Programming

Coursera - Heterogeneous Parallel Programming
MP4 | VP8 759kbps | English | 960x540 | 25fps | 11 hours | Vorbis stereo 128kbps | 4.57 GB
Genre: Video Training

This course introduces concepts, languages, techniques, and patterns for programming heterogeneous, massively parallel processors. Its contents and structure have been significantly revised based on the experience gained from its initial offering in 2012. It covers heterogeneous computing architectures, data-parallel programming models, techniques for memory bandwidth management, and parallel algorithm patterns.

Python Parallel Programming Cookbook  

Posted by AlenMiler at Sept. 7, 2015
Python Parallel Programming Cookbook

Python Parallel Programming Cookbook by Giancarlo Zaccone
English | 29 Aug. 2015 | ISBN: 1785289586 | 286 Pages | EPUB/MOBI/PDF (True) | 19.17 MB
With: Code Files

Python Parallel Programming Cookbook is intended for software developers who are well versed with Python and want to use parallel programming techniques to write powerful and efficient code. This book will help you master the basics and the advanced of parallel computing.
Pluralsight - Introduction to Async and Parallel Programming in .NET 4 [repost]

Pluralsight - Introduction to Async and Parallel Programming in .NET 4
WMV | WMV3 217kbps | English | 1024x768 | 15fps | 2h 51mins | WMA2 stereo 128kbps | 397 MB
Genre: Video Training

Introduces the new Task-based, async and parallel programming model available in .NET 4 and Silverlight 5. Need to make your .NET applications more responsive? Run faster? On today's multicore hardware, async and parallel programming may be the answer. This course (part 1 of 2) overviews the new Task Parallel Library (TPL) in .NET 4, starting with an introduction to its Task-oriented programming model and working through various techniques for effective use of the TPL.
Professional Parallel Programming with C#: Master Parallel Extensions with .NET 4 (repost)

Professional Parallel Programming with C#: Master Parallel Extensions with .NET 4 by Gast?n C. Hillar
English | December 21, 2010 | ISBN: 0470495995 | 576 Pages | PDF | 53 MB

As PC processors explode from one or two to now eight processors, there is an urgent need for programmers to master concurrent programming. This book dives deep into the latest technologies available to programmers for creating professional parallel applications using C#, .NET 4, and Visual Studio 2010. The book covers task-based programming, coordination data structures, PLINQ, thread pools, asynchronous programming model, and more. It also teaches other parallel programming techniques, such as SIMD and vectorization.
Parallel Programming: Techniques and Applications Using Networked Workstations and Parallel Computers

Parallel Programming: Techniques and Applications Using Networked Workstations and Parallel Computers (2nd Edition) by Michael Allen
English | March 14, 2004 | ISBN: 0131405632 | 496 Pages | PDF | 25 MB

This accessible text covers the techniques of parallel programming in a practical manner that enables readers to write and evaluate their parallel programs. Supported by the National Science Foundation and exhaustively class-tested, it is the first text of its kind that does not require access to a special multiprocessor system, concentrating instead on parallel programs that can be executed on networked computers using freely available parallel software tools. The book covers the timely topic of cluster programming, interesting to many programmers due to the recent availability of low-cost computers. Uses MPI pseudocodes to describe algorithms and allows different programming tools to be implemented, and provides readers with thorough coverage of shared memory programming, including Pthreads and OpenMP. Useful as a professional reference for programmers and system administrators.
Parallel Programming: for Multicore and Cluster Systems (repost)

Parallel Programming: for Multicore and Cluster Systems by Gudula RГјnger
English | March 10, 2010 | ISBN: 364204817X | 466 Pages | PDF | 9 MB

Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be much broader than that of scientific computing, up to now the main application area for parallel computing.