pFUTURES: A Parallel Framework for Cellular Automaton Based Urban Growth Models

What:
Presentation
When:
Thursday Sep 29   10:30 AM to 10:50 AM (20 minutes)
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Tags:
GeosimulationUrbanizationcellular automatonparallelization
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Simulating structural changes in landscape is a routine task in computational geography. Owing to advances in sensing and data collection technologies, geospatial data is becoming available at finer spatial and temporal resolutions. However, in practice, these large datasets impede land simulation based studies over large geographical regions due to computational and I/O challenges. The memory overhead of sequential implementations and long execution times further limit the possibilities of simulating future urban scenarios. In this paper, we present a generic framework for coordinating I/O and computation for geospatial simulations in a distributed computing environment. We present three parallel approaches and demonstrate the performance and scalability benefits of our parallel implementation pFUTURES, an extension of the FUTURES open-source multi-level urban growth model. Our analysis shows that although a time synchronous parallel approach obtains the same results as a sequential model, an asynchronous parallel approach provides better scaling due to reduced I/O and communication overheads.
Participant
North Carolina State University
Participant
Participant
North Carolina State University

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