My Thu Thao Truong, Vincent Rodin and Bernard Pottier.
Cellular approach and accurate large scale environment simulation.
Numerical algorithms for high-performance computational sciences Discussion Meeting, Poster Session, Poster #20, The Royal Society, London (UK), 8-9 april 2019.
Abstract:
Climate change impact on environment aspects: sea level, weather patterns, ecosystems. Modeling and simulation allow to monitor changes and mitigate consequences together with sensors, radars, and radio systems. One approach for simulation is to describe the environment into cell systems having geographic coordinates. Data from dierent sources can be provided to cell logic. Following the Cellular Automata paradigm, cells communicate by links representing physical dependencies. Examples are rain ooding, long range radio, insect swarms and city noise. The simulation model is designed from maps and translated into parallel programs for process systems (1k cells) or accelerators (100k cells). Results were obtained for real applications: Distributed swarm observatory as a network of automatic light traps in Mekong Delta, Vietnam. Tool to compute physical propagation on complex terrain, for radio, and rain. Our present work is to optimize accuracy and performance system in complex terrains. A test application is Harmful Algae Blooms monitoring. Processing is achieved by distributing data slices on processors maintaining margin dependencies along the simulation steps, removing interesting cells. We expect to simulate HABs on sensible parts of Great Lakes. The transition rules will be compared to a theoretical model, and an original sensor capabilities.
[link] [Truong19a.pdf] [Poster]

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