MARC Record from harvard_bibliographic_metadata

LEADER: 03647nam a22004455a 4500
001 013717635-X
005 20130816191611.0
008 130608s2013 gw | s ||0| 0|eng d
020 $a9783642378010
020 $a9783642378010
020 $a9783642378003
024 7 $a10.1007/978-3-642-37801-0$2doi
035 $a(Springer)9783642378010
040 $aSpringer
050 4 $aQA76.6-76.66
072 7 $aUM$2bicssc
072 7 $aCOM051000$2bisacsh
082 04 $a005.11$223
100 1 $aRauber, Thomas.
245 10 $aParallel Programming :$bfor Multicore and Cluster Systems /$cby Thomas Rauber, Gudula Rünger.
250 $a2nd ed. 2013.
260 $aBerlin, Heidelberg :$bSpringer Berlin Heidelberg :$bImprint: Springer,$c2013.
300 $aXIII, 516 p. 178 illus.$bdigital.
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 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. 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 10 $aComputer science.
650 0 $aComputer science.
650 0 $aComputer Communication Networks.
650 0 $aComputer system performance.
650 0 $aTelecommunication.
650 24 $aProgramming Techniques.
650 24 $aComputer Communication Networks.
650 24 $aComputational Science and Engineering.
650 24 $aSystem Performance and Evaluation.
650 24 $aProcessor Architectures.
650 24 $aCommunications Engineering, Networks.
700 1 $aRünger, Gudula.
776 08 $iPrinted edition:$z9783642378003
988 $a20130702
906 $0VEN