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Parallilising fuzzy queries for spatial data modelling on a Cray T3D

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • A Clematis
  • A Coda
  • M Spagnuolo
  • S Spinello
  • T Sloan

Related Edinburgh Organisations

Original languageEnglish
Title of host publicationAPPLIED PARALLEL COMPUTING
EditorsB Kagstrom, J Dongarra, E Elmroth, J Wasniewski
Place of PublicationBERLIN
PublisherSpringer-Verlag GmbH
Number of pages6
ISBN (Print)3-540-65414-3
Publication statusPublished - 1998
Event4th International Workshop on Applied Parallel Computing (PARA 98) - UMEA
Duration: 14 Jun 199817 Jun 1998


Conference4th International Workshop on Applied Parallel Computing (PARA 98)


In this paper we present some results about the use of parallel computing for fuzzy modelling in Geographic Information Systems (GIS) applications. Fuzzy modelling is going to gain an increasing popularity in the GIS community, but its application find an obstacle in the high computational cost. It is possible to design efficient parallel algorithms for fuzzy modelling: here we present an approach to parallelisation of fuzzy queries for digital terrain models. Load balancing is shown to be the key point to obtain good performances, and suitable load distribution strategy is discussed. Experimental results obtained on a Cray-T3D using MPI are presented as well.


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