Skip to main content

Using performance analysis to identify candidate operations for GIS software parallelization

Buy Article:

$51.00 plus tax (Refund Policy)


This paper examines the potential impact of parallel computing on the computational performance of GIS. Performance analyses on existing GIS operations, vector topology creation and interpolation, in commercial GIS products in a serial environment are used to work out the critical computational factors that determine elapsed time performance. Analyses reveal that the extraction of all data necessary to perform a GIS operation at a particular geographical locality dominates the I/O and CPU resource usage. For GIS to benefit from parallel computing, the performance of this task must be addressed.

Document Type: Original Article


Affiliations: 1: Edinburgh Parallel Computing Centre, JCMB, King's Buildings, The University of Edinburgh, Mayfield Road, Edinburgh EH9 3JZ, United Kingdom. 2: Department of Geography, University of Edinburgh, Drummond Street, Edinburgh EH8 9XP, United Kingdom. 3: Department of Geography, University of Portsmouth, Buckingham Building, Lion Terrace, Portsmouth PO1 3HE, United Kingdom.

Publication date: 1997-12-01

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more