Parallelizing a GIS on a shared address space architecture

Shashi Shekhar, Sivakumar Ravada, Vipin Kumar, Douglas Chubb, Greg Turner

Research output: Contribution to specialist publicationArticle

15 Scopus citations


Data-parallel message-passing algorithms can be used to implement a high-performance GIS. This article reports on the performance of a key GIS operation made parallel through systematic declustering.

Original languageEnglish (US)
Number of pages7
Specialist publicationComputer
StatePublished - Dec 1996

Bibliographical note

Funding Information:
This work is sponsored in part by the Army High Performance ComputingR esearch Center under the auspices of the US Army, Army Research Laboratory cooperative agreement DAAH04-95-2-0003/contracDt AAH04-95-C-0008. This work does not necessarily reflect the position or policy of the US government. This work is also supported in part by NSF grant CDA9414015.


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