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Saturday, April 25, 2020 | History

3 edition of architecture of scientific software found in the catalog.

architecture of scientific software

IFIP TC2/WG2.5 Working Conference on the Architecture of Scientific Software (2000 Ottawa, Ont.)

architecture of scientific software

IFIP TC2/WG2.5 Working Conference on the Architecture of Scientific Software, October 2-4, 2000, Ottawa, Canada

by IFIP TC2/WG2.5 Working Conference on the Architecture of Scientific Software (2000 Ottawa, Ont.)

  • 312 Want to read
  • 8 Currently reading

Published by Kluwer Academic Publishers in Boston .
Written in English

    Subjects:
  • Software engineering -- Congresses.,
  • Computer architecture -- Congresses.,
  • Science -- Computer software -- Congresses.

  • Edition Notes

    Includes bibliographical references and index.

    Statementedited by Ronald F. Boisvert, Ping Tak Peter Tang.
    GenreCongresses.
    SeriesIFIP -- 60, International Federation for Information Processing (Series) -- 60.
    ContributionsBoisvert, Ronald F., Tang, Ping Tak Peter.
    Classifications
    LC ClassificationsQA76.758 .I345 2000
    The Physical Object
    Paginationxx, 358 p. :
    Number of Pages358
    ID Numbers
    Open LibraryOL20643542M
    ISBN 100792373391
    LC Control Number2001020365


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architecture of scientific software by IFIP TC2/WG2.5 Working Conference on the Architecture of Scientific Software (2000 Ottawa, Ont.) Download PDF EPUB FB2

The Architecture of Scientific Software: IFIP TC2/WG Working Conference on the Architecture of Scientific Software October 2–4,Ottawa, in Information and Communication Technology) st Edition.

Be the first to review this item. Software architecture refers to the way software is structured to promote objectives such as reusability, maintainability, extensibility, and feasibility of independent implementation.

Such issues have become increasingly important in the scientific domain, as software gets larger and more complex, constructed by teams of people, and evolved over : Ronald F. Boisvert. Software architecture refers to the way software is structured to promote objectives such as reusability, maintainability, extensibility, and feasibility of independent implementation.

Such issues have become increasingly important in the scientific domain, as software gets larger and more complex, constructed by teams of people, and evolved over decades. The Architecture of Scientific Software addresses emerging methodologies and tools for the rational design of scientific software, including component integration frameworks, network-based computing, formal methods of abstraction, application programmer interface design, and the role of.

The Architecture of Scientific Software: IFIP TC2/WG Working Conference on the Architecture of Scientific Software October 2–4,Ottawa, Canada Author: Ronald F. Boisvert, Ping Tak Peter Tang Published by Springer US ISBN: DOI: / Table of Contents: Network-Based Scientific Computing.

Erratum to: R.F. Boisvert and P.T.P. Tang (Eds.) The Architecture of Scientific Software DOI: / The book was inadvertently architecture of scientific software book with an incorrect name of the Author: Ronald F. Boisvert, Architecture of scientific software book Tak Peter Tang.

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Scientific applications involve very large computations that strain the resources of whatever computers are available. Such computations implement sophisticated mathematics, require deep scientific knowledge, depend on subtle interplay of different approximations, and may be subject to instabilities and sensitivity to external input.

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Editors Peter Galison Peter Galison is Architecture of scientific software book University Professor of the History of Science and of Physics at Harvard University. He is the author of Einstein's Clocks, Poincaré's Maps: Empires of Time, How Experiments End, and Image and Logic: A Material Culture of Microphysics, among other books, and coeditor architecture of scientific software book Emily Thompson) of The Architecture of Science (MIT Press, ).

Software Architecture for Big Data and the Cloud is designed to be a single architecture of scientific software book that brings together research on how software architectures can solve the challenges imposed by building big data software systems. The challenges of big data on the software architecture can relate to scale, security, integrity, performance, concurrency.

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