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The Architecture of Scientific Software

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

  • Book
  • © 2001

Overview

Editors:
  1. Ronald F. Boisvert

    1. Mathematical and Computational Sciences Division, Information Technology Laboratory, National Institute of Standards and Technology, Gaithersburg, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Ping Tak Peter Tang

    1. Computational Software Lab, SC12-301, Intel Corporation, Santa Clara, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: IFIP Advances in Information and Communication Technology (IFIPAICT, volume 60)

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Table of contents (22 chapters)

  1. Front Matter

    Pages i-xx
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  2. Large-Scale Systems Integration

    1. Front Matter

      Pages 1-1
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    2. Network-Based Scientific Computing

      • Elias N. Houstis, Ann Christine Catlin, Ganesh Balakrishnan, Nitesh Dhanjani, GaHyun Park, John R. Rice et al.
      Pages 3-28

    3. Future Generations of Problem—Solving Environments

      • José C. Cunha
      Pages 29-37

    4. Developing an Architecture to Support the Implementation and Development of Scientific Computing Applications

      • Dorian C. Arnold, Jack J. Dongarra
      Pages 39-55

    5. PETSc and Overture: Lessons Learned Developing an Interface between Components

      • Kristopher R. Buschelman, William D. Gropp, Lois C. McInnes, Barry F. Smith
      Pages 57-68

    6. Component Technology for High-Performance Scientific Simulation Software

      • Tom Epperly, Scott Kohn, Gary Kumfert
      Pages 69-86

    7. A New Approach to Software Integration Frameworks for Multi-Physics Simulation Codes

      • Eric de Sturler, Jay Hoeflinger, Laxmikant Kale, Milind Bhandarkar
      Pages 87-104

    8. Code Coupling Using Parallel Corba Objects

      • Christophe René, Thierry Priol, Guillaume Alléon
      Pages 105-118

    9. A Collaborative Code Development Environment for Computational Electro-Magnetics

      • Matthew Shields, Omer F. Rana, David W. Walker, David Golby
      Pages 119-141

  3. The Architecture of Components

    1. Front Matter

      Pages 143-143
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    2. On the Role of Mathematical Abstractions for Scientific Computing

      • Krister Åhlander, Magne Haveraaen, Hans Z. Munthe-Kaas
      Pages 145-158

    3. Object-Oriented Modeling of Parallel PDE Solvers

      • Michael Thuné, Krister Åhlander, Malin Ljungberg, Markus Nordén, Kurt Otto, Jarmo Rantakokko
      Pages 159-174

    4. Broadway: A Software Architecture for Scientific Computing

      • Samuel Z. Guyer, Calvin Lin
      Pages 175-192

    5. Formal Methods for High-Performance Linear Algebra Libraries

      • John A. Gunnels, Robert A. van de Geijn
      Pages 193-210

    6. New Generalized Matrix Data Structures Lead to a Variety of High-Performance Algorithms

      • Fred G. Gustavson
      Pages 211-234

    7. A Comprehensive DFT API for Scientific Computing

      • Ping Tak Peter Tang
      Pages 235-255

    8. Using a Fortran Interface to Posix Threads

      • Richard J. Hanson, Clay P. Breshears, Henry A. Gabb
      Pages 257-272

    9. Data Management Systems for Scientific Applications

      • Reagan W. Moore
      Pages 273-284

    10. Software Components for Application Development

      • Arnaud Desitter, Antoine Le Hyaric, Geoff Morgan, Gareth Shaw, Anne Trefethen
      Pages 285-299
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Keywords

About this book

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.

Editors and Affiliations

  • Mathematical and Computational Sciences Division, Information Technology Laboratory, National Institute of Standards and Technology, Gaithersburg, USA

    Ronald F. Boisvert

  • Computational Software Lab, SC12-301, Intel Corporation, Santa Clara, USA

    Ping Tak Peter Tang

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