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

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Ronald F. Boisvert, Ping Tak Peter Tang
Springer Science & Business Media, Apr 30, 2001 - Computers - 358 pages
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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Contents

NETWORKBASED SCIENTIFIC COMPUTING
3
FUTURE GENERATIONS OF PROBLEMSOLVING ENVIRONMENTS
29
DEVELOPING AN ARCHITECTURE TO SUPPORT THE IMPLEMENTATION AND DEVELOPMENT OF SCIENTIFIC COMPUTING APPLICA...
39
LESSONS LEARNED DEVELOPING AN INTERFACE BETWEEN COMPONENTS
57
COMPONENT TECHNOLOGY FOR HIGHPERFORMANCE SCIENTIFIC SIMULATION SOFTWARE
69
A NEW APPROACH TO SOFTWARE INTEGRATION FRAMEWORKS FOR MULTIPHYSICS SIMULATION CODES
87
CODE COUPLING USING PARALLEL CORBA OBJECTS
105
A COLLABORATIVE CODE DEVELOPMENT ENVIRONMENT FOR COMPUTATIONAL ELECTROMAGNETICS
119
NEW GENERALIZED MATRIX DATA STRUCTURES LEAD TO A VARIETY OF HIGHPERFORMANCE ALGORITHMS
211
A COMPREHENSIVE DFT API FOR SCIENTIFIC COMPUTING
235
USING A FORTRAN INTERFACE TO POSIX THREADS
257
DATA MANAGEMENT SYSTEMS FOR SCIENTIFIC APPLICATIONS
273
SOFTWARE COMPONENTS FOR APPLICATION DEVELOPMENT
285
HIERARCHICHAL REPRESENTATION AND COMPUTATION OF APPROXIMATE SOLUTIONS IN SCIENTIFIC SIMULATIONS
301
SOFTWARE ARCHITECTURE FOR THE INVESTIGATION OF CONTROLLABLE MODELS WITH COMPLEX DATA SETS
317
A MIXEDLANGUAGE PROGRAMMING METHODOLOGY FOR HIGH PERFORMANCE JAVA COMPUTING
333

THE ARCHITECTURE OF COMPONENTS
143
ON THE ROLE OF MATHEMATICAL ABSTRACTIONS FOR SCIENTIFIC COMPUTING
145
OBJECTORIENTED MODELING OF PARALLEL PDE SOLVERS
159
A SOFTWARE ARCHITECTURE FOR SCIENTIFIC COMPUTING
175
FORMAL METHODS FOR HIGHPERFORMANCE LINEAR ALGEBRA LIBRARIES
193
CONFERENCE INFORMATION
349
THE CONFERENCE
351
Index
357
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