Parallel Programming For Multicore and Cluster Systems /

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 hardw...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Rauber, Thomas (Συγγραφέας), Rünger, Gudula (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03647nam a22005535i 4500
001 978-3-642-04818-0
003 DE-He213
005 20151204180303.0
007 cr nn 008mamaa
008 100316s2010 gw | s |||| 0|eng d
020 |a 9783642048180  |9 978-3-642-04818-0 
024 7 |a 10.1007/978-3-642-04818-0  |2 doi 
040 |d GrThAP 
050 4 |a QA76.758 
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100 1 |a Rauber, Thomas.  |e author. 
245 1 0 |a Parallel Programming  |h [electronic resource] :  |b For Multicore and Cluster Systems /  |c by Thomas Rauber, Gudula Rünger. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2010. 
300 |a X, 456 p. 156 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Parallel Computer Architecture -- Parallel Programming Models -- Performance Analysis of Parallel Programs -- Message-Passing Programming -- Thread Programming -- Algorithms for Systems of Linear Equations. 
520 |a 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. Rauber and Rünger take up these recent developments in processor architecture by giving detailed descriptions of parallel programming techniques that are necessary for developing efficient programs for multicore processors as well as for parallel cluster systems and supercomputers. Their book is structured in three main parts, covering all areas of parallel computing: the architecture of parallel systems, parallel programming models and environments, and the implementation of efficient application algorithms. The emphasis lies on parallel programming techniques needed for different architectures. The main goal of the book is to present parallel programming techniques that can be used in many situations for many application areas and which enable the reader to develop correct and efficient parallel programs. Many examples and exercises are provided to show how to apply the techniques. The book can be used as both a textbook for students and a reference book for professionals. The presented material has been used for courses in parallel programming at different universities for many years. 
650 0 |a Computer science. 
650 0 |a Microprocessors. 
650 0 |a Computer communication systems. 
650 0 |a Computer system failures. 
650 0 |a Software engineering. 
650 0 |a Computer programming. 
650 0 |a Computer mathematics. 
650 1 4 |a Computer Science. 
650 2 4 |a Software Engineering/Programming and Operating Systems. 
650 2 4 |a Computer Communication Networks. 
650 2 4 |a Programming Techniques. 
650 2 4 |a Computational Science and Engineering. 
650 2 4 |a System Performance and Evaluation. 
650 2 4 |a Processor Architectures. 
700 1 |a Rünger, Gudula.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783642048173 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-04818-0  |z Full Text via HEAL-Link 
912 |a ZDB-2-SCS 
950 |a Computer Science (Springer-11645)