Data Structures for Scientific Simulation Programs.

Jean Bell: Data Structures for Scientific Simulation Programs. SSDBM 1983: 196-201

@inproceedings{DBLP:conf/ssdbm/Bell83,
  author    = {Jean Bell},
  editor    = {Roy Hammond and
               John L. McCarthy},
  title     = {Data Structures for Scientific Simulation Programs},
  booktitle = {Proceedings of the Second International Workshop on Statistical
               Database Management, Los Altos, California, USA, September 27-29,
               1983},
  publisher = {Lawrence Berkeley Laboratory},
  year      = {1983},
  pages     = {196-201},
  ee        = {db/conf/ssdbm/Bell83.html},
  crossref  = {DBLP:conf/ssdbm/83},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

This research investigates data management, data structures, and constraints on data structure design in a cross section of programs known as "scientific models". Scientific models are large programs that use numerical approximation techniques to simulate physical phenomena for which exact solution is impossible, e.g. weather forecasting models. Scientific models, as a class, use remarkably similar data structures. The generic structures and access patterns in scientific models are the basis for functional specification of a data management system tailored to this application class.

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Roy Hammond, John L. McCarthy (Eds.): Proceedings of the Second International Workshop on Statistical Database Management, Los Altos, California, USA, September 27-29, 1983. Lawrence Berkeley Laboratory 1983
Contents

References

[1]: Hiroshi Muramatsu, Hiroaki Negishi: Page Replacement Algorithm for Large-array Manipulation. Softw., Pract. Exper. 10(7): 575-587(1980)