The Architecture of Scientific Software: IFIP TC2/WG2.5 Working Conference on the Architecture of Scientific Software October 2–4, 2000, Ottawa, Canada
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...
Gespeichert in:
Weitere Verfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer US
2001
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Ausgabe: | 1st ed. 2001 |
Schriftenreihe: | IFIP Advances in Information and Communication Technology
60 |
Schlagworte: | |
Online-Zugang: | DE-706 URL des Eerstveröffentlichers |
Zusammenfassung: | 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. Software able to succeed in this domain invariably embeds significant domain knowledge that should be tapped for future use. Unfortunately, most existing scientific software is designed in an ad hoc way, resulting in monolithic codes understood by only a few developers. 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. In the context of scientific computation, the challenge facing mathematical software practitioners is to design, develop, and supply computational components which deliver these objectives when embedded in end-user application codes. 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 object-oriented languages. This book comprises the proceedings of the International Federation for Information Processing (IFIP) Conference on the Architecture of Scientific Software, which was held in Ottawa, Canada, in October 2000. It will prove invaluable reading for developers of scientific software, as well as for researchers in computational sciences and engineering |
Beschreibung: | 1 Online-Ressource (XXIV, 360 p) |
ISBN: | 9780387354071 |
DOI: | 10.1007/978-0-387-35407-1 |
Internformat
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edition | 1st ed. 2001 |
format | Electronic eBook |
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spelling | The Architecture of Scientific Software IFIP TC2/WG2.5 Working Conference on the Architecture of Scientific Software October 2–4, 2000, Ottawa, Canada edited by Ronald F. Boisvert, Ping Tak Peter Tang 1st ed. 2001 New York, NY Springer US 2001 1 Online-Ressource (XXIV, 360 p) txt rdacontent c rdamedia cr rdacarrier IFIP Advances in Information and Communication Technology 60 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. Software able to succeed in this domain invariably embeds significant domain knowledge that should be tapped for future use. Unfortunately, most existing scientific software is designed in an ad hoc way, resulting in monolithic codes understood by only a few developers. 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. In the context of scientific computation, the challenge facing mathematical software practitioners is to design, develop, and supply computational components which deliver these objectives when embedded in end-user application codes. 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 object-oriented languages. This book comprises the proceedings of the International Federation for Information Processing (IFIP) Conference on the Architecture of Scientific Software, which was held in Ottawa, Canada, in October 2000. It will prove invaluable reading for developers of scientific software, as well as for researchers in computational sciences and engineering Software Engineering/Programming and Operating Systems Applications of Mathematics Algebra Numeric Computing Mathematical Modeling and Industrial Mathematics Computational Mathematics and Numerical Analysis Software engineering Applied mathematics Engineering mathematics Numerical analysis Mathematical models Computer mathematics Softwarearchitektur (DE-588)4121677-5 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 2000 Ottawa gnd-content Softwarearchitektur (DE-588)4121677-5 s DE-604 Boisvert, Ronald F. edt Tang, Ping Tak Peter edt Erscheint auch als Druck-Ausgabe 9781475767193 Erscheint auch als Druck-Ausgabe 9780792373391 Erscheint auch als Druck-Ausgabe 9781475767186 https://doi.org/10.1007/978-0-387-35407-1 Verlag URL des Eerstveröffentlichers Volltext |
spellingShingle | The Architecture of Scientific Software IFIP TC2/WG2.5 Working Conference on the Architecture of Scientific Software October 2–4, 2000, Ottawa, Canada Software Engineering/Programming and Operating Systems Applications of Mathematics Algebra Numeric Computing Mathematical Modeling and Industrial Mathematics Computational Mathematics and Numerical Analysis Software engineering Applied mathematics Engineering mathematics Numerical analysis Mathematical models Computer mathematics Softwarearchitektur (DE-588)4121677-5 gnd |
subject_GND | (DE-588)4121677-5 (DE-588)1071861417 |
title | The Architecture of Scientific Software IFIP TC2/WG2.5 Working Conference on the Architecture of Scientific Software October 2–4, 2000, Ottawa, Canada |
title_auth | The Architecture of Scientific Software IFIP TC2/WG2.5 Working Conference on the Architecture of Scientific Software October 2–4, 2000, Ottawa, Canada |
title_exact_search | The Architecture of Scientific Software IFIP TC2/WG2.5 Working Conference on the Architecture of Scientific Software October 2–4, 2000, Ottawa, Canada |
title_exact_search_txtP | The Architecture of Scientific Software IFIP TC2/WG2.5 Working Conference on the Architecture of Scientific Software October 2–4, 2000, Ottawa, Canada |
title_full | The Architecture of Scientific Software IFIP TC2/WG2.5 Working Conference on the Architecture of Scientific Software October 2–4, 2000, Ottawa, Canada edited by Ronald F. Boisvert, Ping Tak Peter Tang |
title_fullStr | The Architecture of Scientific Software IFIP TC2/WG2.5 Working Conference on the Architecture of Scientific Software October 2–4, 2000, Ottawa, Canada edited by Ronald F. Boisvert, Ping Tak Peter Tang |
title_full_unstemmed | The Architecture of Scientific Software IFIP TC2/WG2.5 Working Conference on the Architecture of Scientific Software October 2–4, 2000, Ottawa, Canada edited by Ronald F. Boisvert, Ping Tak Peter Tang |
title_short | The Architecture of Scientific Software |
title_sort | the architecture of scientific software ifip tc2 wg2 5 working conference on the architecture of scientific software october 2 4 2000 ottawa canada |
title_sub | IFIP TC2/WG2.5 Working Conference on the Architecture of Scientific Software October 2–4, 2000, Ottawa, Canada |
topic | Software Engineering/Programming and Operating Systems Applications of Mathematics Algebra Numeric Computing Mathematical Modeling and Industrial Mathematics Computational Mathematics and Numerical Analysis Software engineering Applied mathematics Engineering mathematics Numerical analysis Mathematical models Computer mathematics Softwarearchitektur (DE-588)4121677-5 gnd |
topic_facet | Software Engineering/Programming and Operating Systems Applications of Mathematics Algebra Numeric Computing Mathematical Modeling and Industrial Mathematics Computational Mathematics and Numerical Analysis Software engineering Applied mathematics Engineering mathematics Numerical analysis Mathematical models Computer mathematics Softwarearchitektur Konferenzschrift 2000 Ottawa |
url | https://doi.org/10.1007/978-0-387-35407-1 |
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