Flow computation on massive grids

  • Authors:
  • Laura Toma;Rajiv Wickremesinghe;Lars Arge;Jeffery S. Chase;Jeffery Scott Vitter;Patrick N. Halpin;Dean Urban

  • Affiliations:
  • Duke University, Durham, NC;Duke University, Durham, NC;Duke University, Durham, NC;Duke University, Durham, NC;Duke University, Durham, NC;Duke University, Durham, NC;Duke University, Durham, NC

  • Venue:
  • Proceedings of the 9th ACM international symposium on Advances in geographic information systems
  • Year:
  • 2001

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Abstract

As detailed terrain becomes available, GIS applications target larger geographic areas at finer resolutions. Processing the massive data presents significant challenges to GIS systems and demands algorithms that are optimized for both data movement and computation.In this paper we develop effcient algorithms for flow routing on massive terrains, extending our previous work on flow accumulation. Our implementations of these algorithms constitute the first comprehensive terrain flow software system designed and optimized for massive data. We compare the performance of our system, called TERRAFLOW, with that of state of the art commercial and open-source GIS systems. On large terrains, TERRAFLOW outpreforms existing systems by a factor of 2 to 1000, and is capable of solving problems of a scope and scale that are impractical with previous algorithms.