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020 _a9780387097664
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024 7 _a10.1007/978-0-387-09766-4
_2doi
050 4 _aQA76.7-76.73
050 4 _aQA76.76.C65
072 7 _aUMX
_2bicssc
072 7 _aUMC
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072 7 _aCOM051010
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082 0 4 _a005.13
_223
100 1 _aPadua, David.
_eeditor.
245 1 0 _aEncyclopedia of Parallel Computing
_h[electronic resource] /
_cedited by David Padua.
264 1 _aBoston, MA :
_bSpringer US,
_c2011.
300 _aXXXIV, 2175 p. 880 illus. eReference.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aGeneral concepts: Speedup -- Efficiency -- Redundancy -- Efficiency -- Isoefficiency -- Amdahl's law -- Computer architecture: Concepts -- Parallel machine designs -- Machines -- Benchmarks -- Parallel programming: Concepts -- Designs -- Algorithms: Concepts -- Algorithms -- Libraries -- SuperLU -- Parallel applications: Computational fluid dynamics -- Bio-molecular simulation (NMAD) -- Cosmology -- Quantum Chemistry.
520 _aContaining 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.  The Encyclopedia is broad in scope, covering machine organization, programming languages, algorithms, and applications.  Within each area, concepts, designs, and specific implementations are presented.  The highly-structured essays in this work comprise synonyms, a definition and discussion of the topic, bibliographies, and links to related literature. Extensive cross-references to other entries within the Encyclopedia support efficient, user-friendly searchers for immediate access to useful information.  Key concepts presented in the Encyclopedia of Parallel Computing include; laws and metrics; specific numerical and non-numerical algorithms; asynchronous algorithms; libraries of subroutines; benchmark suites;  applications; sequential consistency and cache coherency; machine classes such as clusters, shared-memory multiprocessors, special-purpose machines and dataflow machines; specific machines such as Cray supercomputers, IBM’s cell processor and Intel’s multicore machines; race detection and auto parallelization; parallel programming languages, synchronization primitives, collective operations, message passing libraries, checkpointing, and operating systems.   Topics covered: Speedup, Efficiency, Isoefficiency, Redundancy, Amdahls law, Computer Architecture Concepts, Parallel Machine Designs, Benmarks, Parallel Programming concepts & design, Algorithms, Parallel applications.  This authoritative reference will be published in two formats: print and online.  The online edition features hyperlinks to cross-references and to additional significant research.  Related Subjects:  supercomputing, high-performance computing, distributed computing
650 0 _aComputer science.
650 0 _aSoftware engineering.
650 0 _aComputer system performance.
650 1 4 _aComputer Science.
650 2 4 _aProgramming Languages, Compilers, Interpreters.
650 2 4 _aProcessor Architectures.
650 2 4 _aSystem Performance and Evaluation.
650 2 4 _aSpecial Purpose and Application-Based Systems.
650 2 4 _aSoftware Engineering/Programming and Operating Systems.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387097657
856 4 0 _uhttp://dx.doi.org/10.1007/978-0-387-09766-4
912 _aZDB-2-SCS
999 _c105019
_d105019