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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
The Architecture of Scientific Software: Ifip Tc2/Wg2.5 Working Conference on the Architecture of Scientific Software October 2-4, 2000, Ottawa, Canad

The Architecture of Scientific Software: Ifip Tc2/Wg2.5 Working Conference on the Architecture of Scientific Software October 2-4, 2000, Ottawa, Canad

Boisvert, Ronald F.
Tang, Ping Tak Peter

Paperback

Series: IFIP Advances in Information and Communication Technology, Book 60

General ComputersGeneral MathematicsProgramming

ISBN10: 1475767196
ISBN13: 9781475767193
Publisher: Springer Nature
Published: Apr 14 2013
Pages: 360
Weight: 1.18
Height: 0.79 Width: 6.14 Depth: 9.21
Language: English
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.

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