Structured Parallel Programming
Structured Parallel Programming: Patterns for Efficient Computation eBooks & eLearning
Posted by igor_lv at Sept. 13, 2017
Structured Parallel Programming: Patterns for Efficient Computation - Michael McCool
2012 | ISBN: 0124159931 | PDF | 432 pages | 1st Edition | 5 Mb
2012 | ISBN: 0124159931 | PDF | 432 pages | 1st Edition | 5 Mb
This book explains how to design and implement maintainable and efficient parallel algorithms using a composable, structured, scalable, and machine-independent approach to parallel computing. It presents both theory and practice, and provides detailed concrete examples using multiple programming models.
Fortran 2018 with Parallel Programming eBooks & eLearning
Posted by Underaglassmoon at Nov. 17, 2019
Fortran 2018 with Parallel Programming
CRC Press | English | 2020 | ISBN-10: 0367218437 | 682 pages | PDF | 3.43 MB
CRC Press | English | 2020 | ISBN-10: 0367218437 | 682 pages | PDF | 3.43 MB
by Subrata Ray (Author)
The programming language Fortran dates back to 1957 when a team of IBM engineers released the first Fortran Compiler
Parallel Programming: for Multicore and Cluster Systems (2nd edition) [Repost] eBooks & eLearning
Posted by ChrisRedfield at Nov. 29, 2017
![Parallel Programming: for Multicore and Cluster Systems (2nd edition) [Repost]](https://pixhost.icu/avaxhome/78/f1/004cf178_medium.jpg)
Thomas Rauber, Gudula Rünger - Parallel Programming: for Multicore and Cluster Systems (2nd edition)
Published: 2013-06-08 | ISBN: 3642378005, 3642438067 | PDF | 516 pages | 9.16 MB
Parallel Programming: for Multicore and Cluster Systems, 2nd edition (repost) eBooks & eLearning
Posted by arundhati at Jan. 4, 2014
Thomas Rauber, "Parallel Programming: for Multicore and Cluster Systems, 2nd edition"
2013 | ISBN-10: 3642378005 | PDF | 522 pages | 9,2 MB
2013 | ISBN-10: 3642378005 | PDF | 522 pages | 9,2 MB
Parallel Programming: for Multicore and Cluster Systems eBooks & eLearning
Posted by avava at Sept. 7, 2013
Thomas Rauber, "Parallel Programming: for Multicore and Cluster Systems"
ISBN: 3642378005 | 2013 | PDF | 522 pages | 9.2 MB
ISBN: 3642378005 | 2013 | PDF | 522 pages | 9.2 MB
Encyclopedia of Parallel Computing eBooks & eLearning
Posted by AvaxGenius at Dec. 21, 2023
Encyclopedia of Parallel Computing by David Padua
English | EPUB (True) | 2011 | 2211 Pages | ISBN : 0387098445 | 29.3 MB
Containing over 300 entries in an A-Z format, the Encyclopedia of Parallel Computing provides easy, intuitive access to relevant information for professionals and researchers seeking access to any aspect within the broad field of parallel computing. Topics for this comprehensive reference were selected, written, and peer-reviewed by an international pool of distinguished researchers in the field.
Parallel Programming: for Multicore and Cluster Systems (repost) eBooks & eLearning
Posted by tot167 at Dec. 4, 2010
Thomas Rauber, Gudula Rünger, "Parallel Programming: for Multicore and Cluster Systems"
Sp..ger | 2010 | ISBN: 364204817X | 450 pages | PDF | 8,2 MB
Sp..ger | 2010 | ISBN: 364204817X | 450 pages | PDF | 8,2 MB
Parallel Programming: for Multicore and Cluster Systems (repost) eBooks & eLearning
Posted by arundhati at April 2, 2014
Thomas Rauber, Gudula Rünger, "Parallel Programming: for Multicore and Cluster Systems"
2010 | ISBN: 364204817X | 466 pages | PDF | 8,6 MB
2010 | ISBN: 364204817X | 466 pages | PDF | 8,6 MB
Parallel Programming: for Multicore and Cluster Systems eBooks & eLearning
Posted by AlenMiler at March 25, 2019
Parallel Programming: for Multicore and Cluster Systems by Thomas Rauber
English | March 10, 2010 | ISBN: 364204817X, 3642048668 | 466 pages | PDF | 8.56 Mb
English | March 10, 2010 | ISBN: 364204817X, 3642048668 | 466 pages | PDF | 8.56 Mb
Parallel Programming: for Multicore and Cluster Systems (repost) eBooks & eLearning
Posted by MoneyRich at Dec. 24, 2014
Parallel Programming: for Multicore and Cluster Systems by Gudula RГјnger
English | March 10, 2010 | ISBN: 364204817X | 466 Pages | PDF | 9 MB
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.