000 04127nam a22005655i 4500
001 978-3-642-37801-0
003 DE-He213
005 20200421111843.0
007 cr nn 008mamaa
008 130608s2013 gw | s |||| 0|eng d
020 _a9783642378010
_9978-3-642-37801-0
024 7 _a10.1007/978-3-642-37801-0
_2doi
050 4 _aQA76.6-76.66
072 7 _aUM
_2bicssc
072 7 _aCOM051000
_2bisacsh
082 0 4 _a005.11
_223
100 1 _aRauber, Thomas.
_eauthor.
245 1 0 _aParallel Programming
_h[electronic resource] :
_bfor Multicore and Cluster Systems /
_cby Thomas Rauber, Gudula R�unger.
250 _a2nd ed. 2013.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aXIII, 516 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- Parallel Computer Architecture -- Parallel Programming Models -- Performance Analysis of Parallel Programs -- Message-Passing Programming -- Thread Programming -- General Purpose GPU Programming -- Algorithms for Systems of Linear Equations.
520 _aInnovations 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 R�unger 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. For this second edition, all chapters have been carefully revised. The chapter on architecture of parallel systems has been updated considerably, with a greater emphasis on the architecture of multicore systems and adding new material on the latest developments in computer architecture. Lastly, a completely new chapter on general-purpose GPUs and the corresponding programming techniques has been added. The main goal of the book is to present parallel programming techniques that can be used in many situations for a broad range of 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 material presented has been used for courses in parallel programming at different universities for many years.
650 0 _aComputer science.
650 0 _aMicroprocessors.
650 0 _aComputer communication systems.
650 0 _aComputer system failures.
650 0 _aComputer programming.
650 0 _aComputer mathematics.
650 0 _aElectrical engineering.
650 1 4 _aComputer Science.
650 2 4 _aProgramming Techniques.
650 2 4 _aComputer Communication Networks.
650 2 4 _aComputational Science and Engineering.
650 2 4 _aSystem Performance and Evaluation.
650 2 4 _aProcessor Architectures.
650 2 4 _aCommunications Engineering, Networks.
700 1 _aR�unger, Gudula.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642378003
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-37801-0
912 _aZDB-2-SCS
942 _cEBK
999 _c55672
_d55672