Containing 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
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