Parallel Programming With Mpi

Using MPI: Portable Parallel Programming with the Message Passing Interface, 2nd Edition

Using MPI: Portable Parallel Programming with the Message Passing Interface, 2nd Edition by William Gropp,‎ Ewing Lusk,‎ Anthony Skjellum
English | November 12th, 1999 | ISBN: 0262256282, 0262571048 | 396 Pages | PDF | 6.98 MB

A tutorial on how to use Message-Passing Interface (MPI), the standard for communication subroutine libraries, to write parallel programs, particularly for large-scale applications. Covers background and basic concepts, MPI in C, using communicators, the Poisson problem, scalability, message passing, parallel libraries, and parallel I/O. Other topics include portability among MPP systems, use of MPI on workstation networks, and converting existing codes to MPI. Appendices list MPE multiprocessing environment functions. Annotation copyright Book News, Inc. Portland, Or.

Mastering Parallel Programming with R  eBooks & eLearning

Posted by readerXXI at July 16, 2017
Mastering Parallel Programming with R

Mastering Parallel Programming with R
by Simon R. Chapple and Eilidh Troup
English | 2016 | ISBN: 1784394009 | 244 Pages | True PDF | 3.7 MB

Mastering Parallel Programming with R  eBooks & eLearning

Posted by AlenMiler at May 4, 2017
Mastering Parallel Programming with R

Mastering Parallel Programming with R by Simon R. Chapple
English | 31 May 2016 | ASIN: B017XSFKFG | 244 Pages | AZW3 | 4.24 MB
Using MPI: Portable Parallel Programming with the Message-Passing Interface, 3 edition

Using MPI: Portable Parallel Programming with the Message-Passing Interface, 3 edition (Scientific and Engineering Computation) by William Gropp and Ewing Lusk
English | 2014 | ISBN: 0262527391 | 336 pages | PDF | 2,6 MB
Basic Parallel Programming with OpenMP: A guide to cutting your scientific calculations in smaller pieces

Basic Parallel Programming with OpenMP: A guide to cutting your scientific calculations in smaller pieces. by Thomas la Cour Jansen
English | 25 Aug. 2017 | ASIN: B07558QX83 | 15 Pages | AZW3 | 337.67 KB

Parallel Programming with Intel Parallel Studio XE (repost)  eBooks & eLearning

Posted by andr1078 at Feb. 29, 2016
Parallel Programming with Intel Parallel Studio XE (repost)

Stephen Blair-Chappell, Andrew Stokes "Parallel Programming with Intel Parallel Studio XE"
Publisher: Wrox | English | 2012 | ISBN: 0470891653 | 552 pages | PDF | 55.1 MB

Parallel Programming with Microsoft Visual C++ (repost)  eBooks & eLearning

Posted by fdts at May 5, 2015
Parallel Programming with Microsoft Visual C++ (repost)

Parallel Programming with Microsoft Visual C++: Design Patterns for Decomposition and Coordination on Multicore Architectures
by Ade Miller
English | 2011 | ISBN: 0735651752 | 208 pages | PDF | 8.65 MB
Parallel Programming with Python: Develop Efficient Parallel Systems Using the Robust Python Environment

Jan Palach, "Parallel Programming with Python: Develop Efficient Parallel Systems Using the Robust Python Environment"
English | ISBN: 1783288396 | 2014 | 124 pages | PDF | 2 MB
Parallel Programming with Microsoft® .NET: Design Patterns for Decomposition and Coordination (Repost)

Parallel Programming with Microsoft® .NET: Design Patterns for Decomposition and Coordination on Multicore Architectures (Patterns & Practices) by Colin Campbell
English | 2010 | ISBN: 0735651590 | 224 Pages | PDF | 4 MB

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.
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.