Parallelisation of a distributed hydrologic model

  • Authors:

  • Zhengtao Cui;Baxter E. Vieux;Henry Neeman;Fekadu Moreda

  • Affiliations:

  • School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, OK 73019, USA.;School of Civil Engineering and Environmental Science, University of Oklahoma, 202 W. Boyd St., Room CEC334, Norman, OK 73019, USA.;OU Supercomputing Center for Education and Research, Stephenson Research and Technology Center, University of Oklahoma, 101 David L. Boren Blvd., Norman, OK 73019, USA.;Office of Hydrologic Development, National Weather Service, 1325 East-West Highway, Silver Spring, MD 20910, USA

  • Venue:
  • International Journal of Computer Applications in Technology
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

In the solution of streamflow problems, fully distributed hydrologic models (DHMs), which are based directly on governing equations, offer distinct advantages over conceptual rainfall-runoff models, which are derived from empirical observations. However, the primary problem associated with DHMs is that they consume more computational resources than other models, and as a result, they have not been as popular as their capabilities would imply. A parallel DHM software system for solving streamflow prediction problems has been implemented and analysed, and an investigation has been conducted of: the efficiency and scalability of the algorithm; load balancing among processors; interprocessor communication; disk performance. The load balancing algorithms show great promise for the kind of problem addressed. The software exhibits substantial parallel speedup, but the degree of speedup is limited by I/O costs.