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/vol02/gimblett/ | © Copyright 1995 | |||
| Volume 02 | Received: Accepted: |
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Massively Parallel Simulations of Complex, Large Scale, High Resolution Ecosystem Models
Randy Gimblett, George Ball, Vince Lopes |
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| Abstract | |
| Recent interest in monitoring and predicting landscape and ecosystem changes for large, complex, geographic regions has motivated a series of international initiatives stimulating research on simulation environments, knowledge representations, and modelling methods. While much effort has been focussed on acquiring and manipulating spatial data for a variety of purposes, geographic information systems (GIS) have been a very promising tool for supporting such environmental simulation. However, GIS alone cannot solve all the problems in simulation-modelling. GIS must be augmented with high performance simulation. This paper reports on research which brings together scientists with detailed understanding of the problems and opportunities in ecosystem-modelling at the scales being considered, together with computer engineers with significant experience in the development of computer platforms for knowledge representation and simulation modelling. The outcome of this research is a set of algorithms to support landscape level simulations on massively parallel processing platforms implemented in the CM-5 programming system. The resulting environment will be accessible to ecosystem managers and scientists to support decision-making and research. | |
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