Programming in a high level approach for scientific computing

  • Authors:

  • Baolai Ge

  • Affiliations:

  • SHARCNET, The University of Western Ontario

  • Venue:
  • ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartI
  • Year:
  • 2003

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Abstract

This article describes some internals of the design and implementation of an interpreted programming environment for scientific computing. A high level, hybrid approach to numerical computations is discussed with examples focused on sparse matrix computations.