Improving Wildland Fire Prediction On MPI Clusters

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Journal Title, Volume, Page: 
Recent Advances in Parallel Virtual Machine and Message Passing Interface, Volume 2840/2003, 520-528
Year of Publication: 
Baker Abdalhaq
College Of Information Technology, An-Najah National University, Nablus, Palestine
Preferred Abstract (Original): 

One of the challenges still open to wildland fire simulators is the capacity of working under real- time constrains with the aim of providing fire spread predictions that could be useful in fire mitigation interventions. In this paper, a parallel optimization framework for improving wildland fire prediction is applied to a real laboratory fire. The proposed prediction methodology has been tested on a Linux cluster using MPI.