© 2001

The Architecture of Scientific Software

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

  • Ronald F. Boisvert
  • Ping Tak Peter Tang

Part of the IFIP — The International Federation for Information Processing book series (IFIPAICT, volume 60)

Table of contents

  1. Front Matter
    Pages i-xx
  2. Large-Scale Systems Integration

    1. Front Matter
      Pages 1-1
    2. Elias N. Houstis, Ann Christine Catlin, Ganesh Balakrishnan, Nitesh Dhanjani, GaHyun Park, John R. Rice et al.
      Pages 3-28
    3. Kristopher R. Buschelman, William D. Gropp, Lois C. McInnes, Barry F. Smith
      Pages 57-68
    4. Tom Epperly, Scott Kohn, Gary Kumfert
      Pages 69-86
    5. Eric de Sturler, Jay Hoeflinger, Laxmikant Kale, Milind Bhandarkar
      Pages 87-104
    6. Christophe René, Thierry Priol, Guillaume Alléon
      Pages 105-118
    7. Matthew Shields, Omer F. Rana, David W. Walker, David Golby
      Pages 119-141
  3. The Architecture of Components

    1. Front Matter
      Pages 143-143
    2. Krister Åhlander, Magne Haveraaen, Hans Z. Munthe-Kaas
      Pages 145-158
    3. Michael Thuné, Krister Åhlander, Malin Ljungberg, Markus Nordén, Kurt Otto, Jarmo Rantakokko
      Pages 159-174
    4. Samuel Z. Guyer, Calvin Lin
      Pages 175-192
    5. John A. Gunnels, Robert A. van de Geijn
      Pages 193-210
    6. Ping Tak Peter Tang
      Pages 235-255
    7. Richard J. Hanson, Clay P. Breshears, Henry A. Gabb
      Pages 257-272
    8. Arnaud Desitter, Antoine Le Hyaric, Geoff Morgan, Gareth Shaw, Anne Trefethen
      Pages 285-299

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.


CORBA Java Processing Usability algorithms data structures design modeling object oriented design programming scientific computing simulation software architecture

Editors and affiliations

  • Ronald F. Boisvert
    • 1
  • Ping Tak Peter Tang
    • 2
  1. 1.Mathematical and Computational Sciences Division, Information Technology LaboratoryNational Institute of Standards and TechnologyGaithersburgUSA
  2. 2.Computational Software Lab, SC12-301Intel CorporationSanta ClaraUSA

Bibliographic information

Industry Sectors
Chemical Manufacturing
IT & Software
Finance, Business & Banking
Energy, Utilities & Environment