A Parallel Programming

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

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)  eBooks & eLearning

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)  eBooks & eLearning

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
GPU parallel computing for machine learning in Python: how to build a parallel computer

GPU parallel computing for machine learning in Python: how to build a parallel computer
English | 2017 | ASIN: B071KN8484 | 22 pages | PDF, EPUB, AZW3 (conv) | 1.22 Mb

Concurrent and Parallel Programming Concepts  eBooks & eLearning

Posted by naag at May 25, 2017
Concurrent and Parallel Programming Concepts

Concurrent and Parallel Programming Concepts
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 8 Hours | 2.28 GB
Genre: eLearning | Language: English

In this Concurrent and Parallel Programming Concepts training course, expert author Martin Kalin will teach you everything you need to know to master concurrent and parallel programming. This course is designed for users that already have a basic working knowledge of programming concepts.

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

Parallel Programming: For Multicore and Cluster Systems [repost]  eBooks & eLearning

Posted by hill0 at March 26, 2017
Parallel Programming: For Multicore and Cluster Systems [repost]

Parallel Programming: For Multicore and Cluster Systems by Thomas Rauber
English | 25 Jun. 2013 | ISBN: 3642378005 | 532 Pages | PDF (True) | 7.95 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

Python Parallel Programming Solutions  eBooks & eLearning

Posted by naag at Jan. 2, 2017
Python Parallel Programming Solutions

Python Parallel Programming Solutions
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 4 Hours | 2.12 GB
Genre: eLearning | Language: English

This course will teach you parallel programming techniques using examples in Python and help you explore the many ways in which you can write code that allows more than one process to happen at once.

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.