Verfügbarkeit: Parallel programming | Technische Universität München

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Bibliographische Detailangaben
Beteiligte Personen:	Rauber, Thomas 1961- (VerfasserIn), Rünger, Gudula (VerfasserIn)
Format:	Buch
Sprache:	Englisch
Veröffentlicht:	Berlin [u.a.] Springer 2010
Schlagwörter:	Parallel programming (Computer science) Verteiltes System Programm Verteilte Programmierung Wissenschaftliches Rechnen Paralleles Programm Programmierung Cluster > Rechnernetz Mehrkernprozessor Computerarchitektur Parallelrechner Parallelverarbeitung Simulation
Links:	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018937312&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018937312&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
Beschreibung:	Literaturverz. S. 441 - 448
Umfang:	X, 455 S. graph. Darst.
ISBN:	9783642048173

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Datensatz im Suchindex

_version_	1819318867890012160
adam_text	2.8 EXERCISES FOR CHAP. 2 88 CONTENTS INTRODUCTION 1 1.1 CLASSICAL USE OF PARALLELISM 1 1.2 PARALLELISM IN TODAY S HARDWARE 2 1.3 BASIC CONCEPTS 3 1.4 OVERVIEW OF THE BOOK 5 PARALLEL COMPUTER ARCHITECTURE 7 2.1 PROCESSOR ARCHITECTURE AND TECHNOLOGY TRENDS 7 2.2 FLYNN S TAXONOMY OF PARALLEL ARCHITECTURES 10 2.3 MEMORY ORGANIZATION OF PARALLEL COMPUTERS 12 2.3.1 COMPUTERS WITH DISTRIBUTED MEMORY ORGANIZATION 12 2.3.2 COMPUTERS WITH SHARED MEMORY ORGANIZATION 15 2.3.3 REDUCING MEMORY ACCESS TIMES 17 2.4 THREAD-LEVEL PARALLELISM 20 2.4.1 SIMULTANEOUS MULTITHREADING 21 2.4.2 MULTICORE PROCESSORS 22 2.4.3 ARCHITECTURE OF MULTICORE PROCESSORS 24 2.5 INTERCONNECTION NETWORKS 28 2.5.1 PROPERTIES OF INTERCONNECTION NETWORKS 29 2.5.2 DIRECT INTERCONNECTION NETWORKS 32 2.5.3 EMBEDDINGS 37 2.5.4 DYNAMIC INTERCONNECTION NETWORKS 40 2.6 ROUTING AND SWITCHING 46 2.6.1 ROUTING ALGORITHMS 46 2.6.2 ROUTING IN THE OMEGA NETWORK 53 2.6.3 SWITCHING 56 2.6.4 FLOW CONTROL MECHANISMS 63 2.7 CACHES AND MEMORY HIERARCHY 64 2.7.1 CHARACTERISTICS OF CACHES 65 2.7.2 WRITE POLICY 73 2.7.3 CACHE COHERENCY 75 2.7.4 MEMORY CONSISTENCY 82 BIBLIOGRAFISCHE INFORMATIONEN HTTP://D-NB.INFO/996813152 DIGITALISIERT DURCH CONTENTS PARALLEL PROGRAMMING MODELS 93 3.1 MODELS FOR PARALLEL SYSTEMS 93 3.2 PARALLELIZATION OF PROGRAMS 96 3.3 LEVELS OF PARALLELISM 98 3.3.1 PARALLELISM AT INSTRUCTION LEVEL 98 3.3.2 DATA PARALLELISM 100 3.3.3 LOOP PARALLELISM 102 3.3.4 FUNCTIONAL PARALLELISM 104 3.3.5 EXPLICIT AND IMPLICIT REPRESENTATION OF PARALLELISM 105 3.3.6 PARALLEL PROGRAMMING PATTERNS 108 3.4 DATA DISTRIBUTIONS FOR ARRAYS 113 3.4.1 DATA DISTRIBUTION FOR ONE-DIMENSIONAL ARRAYS 113 3.4.2 DATA DISTRIBUTION FOR TWO-DIMENSIONAL ARRAYS 114 3.4.3 PARAMETERIZED DATA DISTRIBUTION 116 3.5 INFORMATION EXCHANGE 117 3.5.1 SHARED VARIABLES 117 3.5.2 COMMUNICATION OPERATIONS 118 3.6 PARALLEL MATRIX-VECTOR PRODUCT 125 3.6.1 PARALLEL COMPUTATION OF SCALAR PRODUCTS 126 3.6.2 PARALLEL COMPUTATION OF THE LINEAR COMBINATIONS 129 3.7 PROCESSES AND THREADS 130 3.7.1 PROCESSES 130 3.7.2 THREADS 132 3.7.3 SYNCHRONIZATION MECHANISMS 136 3.7.4 DEVELOPING EFFICIENT AND CORRECT THREAD PROGRAMS 139 3.8 FURTHER PARALLEL PROGRAMMING APPROACHES 141 3.8.1 APPROACHES FOR NEW PARALLEL LANGUAGES 142 3.8.2 TRANSACTIONAL MEMORY 144 3.9 EXERCISES FOR CHAP. 3 147 PERFORMANCE ANALYSIS OF PARALLEL PROGRAMS 151 4.1 PERFORMANCE EVALUATION OF COMPUTER SYSTEMS 152 4.1.1 EVALUATION OF CPU PERFORMANCE 152 4.1.2 MIPS AND MFLOPS 154 4.1. CONTENTS IX 4.4.2 PARALLEL MATRIX-VECTOR PRODUCT 183 4.5 PARALLEL COMPUTATIONAL MODELS 186 4.5.1 PRAM MODEL 186 4.5.2 BSP MODEL 189 4.5.3 LOGP MODEL 191 4.6 EXERCISES FOR CHAP. 4 1 93 5 MESSAGE-PASSING PROGRAMMING 197 5.1 INTRODUCTION TO MPI 198 5.1.1 MPI POINT-TO-POINT COMMUNICATION 199 5.1.2 DEADLOCKS WITH POINT-TO-POINT COMMUNICATIONS 204 5.1.3 NON-BLOCKING OPERATIONS AND COMMUNICATION MODES 208 5.1.4 COMMUNICATION MODE 212 5.2 COLLECTIVE COMMUNICATION OPERATIONS 213 5.2.1 COLLECTIVE COMMUNICATION IN MPI 214 5.2.2 DEADLOCKS WITH COLLECTIVE COMMUNICATION 227 5.3 PROCESS GROUPS AND COMMUNICATORS 229 5.3.1 PROCESS GROUPS IN MPI 229 5.3.2 PROCESS TOPOLOGIES 234 5.3.3 TIMINGS AND ABORTING PROCESSES 239 5.4 INTRODUCTION TO MPI-2 240 5.4.1 DYNAMIC PROCESS GENERATION AND MANAGEMENT 240 5.4.2 ONE-SIDED COMMUNICATION 243 5.5 EXERCISES FOR CHAP. 5 252 6 THREAD PROGRAMMING 257 6.1 PROGRAMMING WITH PTHREADS 257 6.1.1 CREATING AND MERGING THREADS 259 6.1.2 THREAD COORDINATION WITH PTHREADS 263 .3 CONDITION VARIABLES 270 .4 EXTENDED LOCK MECHANISM 274 .5 ONE-TIME INITIALIZATION 276 .6 IMPLEMENTATION OF A TASK POOL 276 .7 PARALLELISM BY PIPELINING 280 IMPLEMENTATION OF A CLIENT-SERVER MODEL 286 1. X CONTENTS 6.2.5 THREAD SCHEDULING IN JAVA 331 6.2.6 PACKAGE JAVA.UTIL .CONCURRENT 332 6.3 OPENMP 339 6.3.1 COMPILER DIRECTIVES 340 6.3.2 EXECUTION ENVIRONMENT ROUTINES 348 6.3.3 COORDINATION AND SYNCHRONIZATION OF THREADS 349 6.4 EXERCISES FOR CHAP. 6 353 7 ALGORITHMS FOR SYSTEMS OF LINEAR EQUATIONS 359 7. 1 GAUSSIAN ELIMINATION 360 7.1.1 GAUSSIAN ELIMINATION AND LU DECOMPOSITION 360 7.1.2 PARALLEL ROW-CYCLIC IMPLEMENTATION 363 7.1.3 PARALLEL IMPLEMENTATION WITH CHECKERBOARD DISTRIBUTION 367 7.1.4 ANALYSIS OF THE PARALLEL EXECUTION TIME 373 7.2 DIRECT METHODS FOR LINEAR SYSTEMS WITH BANDED STRUCTURE 378 7.2.1 DISCRETIZATION OF THE POISSON EQUATION 378 7.2.2 TRIDIAGONAL SYSTEMS 383 7.2.3 GENERALIZATION TO BANDED MATRICES 395 7.2.4 SOLVING THE DISCRETIZED POISSON EQUATION 397 7.3 ITERATIVE METHODS FOR LINEAR SYSTEMS 399 7.3.1 STANDARD ITERATION METHODS 400 7.3.2 PARALLEL IMPLEMENTATION OF THE JACOBI ITERATION 404 7.3.3 PARALLEL IMPLEMENTATION OF THE GAUSS-SEIDEL ITERATION 405 7.3.4 GAUSS-SEIDEL ITERATION FOR SPARSE SYSTEMS 407 7.3.5 RED-BLACK ORDERING 411 7.4 CONJUGATE GRADIENT METHOD 417 7.4.1 SEQUENTIAL CG METHOD 418 7.4.2 PARALLEL CG METHOD 420 7.5 CHOLESKY FACTORIZATION FOR SPARSE MATRICES 424 7.5.1 SEQUENTIAL ALGORITHM 424 7.5.2 STORAGE SCHEME FOR SPARSE MATRICES 430 7.5. Features and Benefits * Broad coverage of all aspects of parallel programming * Special emphasis on runtime efficiency and memory organization * Presented material has been used in courses for many years * Complemented by many examples and an additional website with teaching material Rauber· Rünger Parallel Programming 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 technigues 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 efficiënt 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. ISBN 978-3-642-04817-3 9 783642 04817 3 У springer.com
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id	DE-604.BV036045531
illustrated	Illustrated
indexdate	2024-12-20T14:05:32Z
institution	BVB
isbn	9783642048173
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-018937312
oclc_num	462919313
open_access_boolean
owner	DE-29T DE-92 DE-11 DE-634 DE-703 DE-83 DE-20 DE-573 DE-19 DE-BY-UBM DE-526
owner_facet	DE-29T DE-92 DE-11 DE-634 DE-703 DE-83 DE-20 DE-573 DE-19 DE-BY-UBM DE-526
physical	X, 455 S. graph. Darst.
publishDate	2010
publishDateSearch	2010
publishDateSort	2010
publisher	Springer
record_format	marc
spellingShingle	Rauber, Thomas 1961- Rünger, Gudula Parallel programming for multicore and cluster systems Parallel programming (Computer science) Verteiltes System (DE-588)4238872-7 gnd Programm (DE-588)4047394-6 gnd Verteilte Programmierung (DE-588)4421492-3 gnd Wissenschaftliches Rechnen (DE-588)4338507-2 gnd Paralleles Programm (DE-588)4552796-9 gnd Programmierung (DE-588)4076370-5 gnd Cluster Rechnernetz (DE-588)4534182-5 gnd Mehrkernprozessor (DE-588)7598578-0 gnd Computerarchitektur (DE-588)4048717-9 gnd Parallelrechner (DE-588)4173280-7 gnd Parallelverarbeitung (DE-588)4075860-6 gnd Simulation (DE-588)4055072-2 gnd
subject_GND	(DE-588)4238872-7 (DE-588)4047394-6 (DE-588)4421492-3 (DE-588)4338507-2 (DE-588)4552796-9 (DE-588)4076370-5 (DE-588)4534182-5 (DE-588)7598578-0 (DE-588)4048717-9 (DE-588)4173280-7 (DE-588)4075860-6 (DE-588)4055072-2
title	Parallel programming for multicore and cluster systems
title_alt	Parallele Programmierung
title_auth	Parallel programming for multicore and cluster systems
title_exact_search	Parallel programming for multicore and cluster systems
title_full	Parallel programming for multicore and cluster systems Thomas Rauber ; Gudula Rünger
title_fullStr	Parallel programming for multicore and cluster systems Thomas Rauber ; Gudula Rünger
title_full_unstemmed	Parallel programming for multicore and cluster systems Thomas Rauber ; Gudula Rünger
title_short	Parallel programming
title_sort	parallel programming for multicore and cluster systems
title_sub	for multicore and cluster systems
topic	Parallel programming (Computer science) Verteiltes System (DE-588)4238872-7 gnd Programm (DE-588)4047394-6 gnd Verteilte Programmierung (DE-588)4421492-3 gnd Wissenschaftliches Rechnen (DE-588)4338507-2 gnd Paralleles Programm (DE-588)4552796-9 gnd Programmierung (DE-588)4076370-5 gnd Cluster Rechnernetz (DE-588)4534182-5 gnd Mehrkernprozessor (DE-588)7598578-0 gnd Computerarchitektur (DE-588)4048717-9 gnd Parallelrechner (DE-588)4173280-7 gnd Parallelverarbeitung (DE-588)4075860-6 gnd Simulation (DE-588)4055072-2 gnd
topic_facet	Parallel programming (Computer science) Verteiltes System Programm Verteilte Programmierung Wissenschaftliches Rechnen Paralleles Programm Programmierung Cluster Rechnernetz Mehrkernprozessor Computerarchitektur Parallelrechner Parallelverarbeitung Simulation
url	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018937312&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018937312&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT rauberthomas paralleleprogrammierung AT rungergudula paralleleprogrammierung AT rauberthomas parallelprogrammingformulticoreandclustersystems AT rungergudula parallelprogrammingformulticoreandclustersystems

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