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.

Title

Recent Advances in Parallel Virtual Machine and Message Passing Interface, Volume 2840/2003, 520-528

Publisher

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Publisher Country

Palestine

Publication Type

Both (Printed and Online)

Volume

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Year

2003

Pages

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