Distributed individual-based simulation
- Author(s): Liu, J
- Dillencourt, MB
- Bic, LF
- Gillen, D
- Lander, AD
- et al.
Published Web Locationhttps://doi.org/10.1007/978-3-642-03869-3_56
Individual-based simulations are an important class of applications where a complex system is modeled as a collection of autonomous entities, each having its own identify and behavior in the underlying simulated space. The main drawback of such simulations is that they are extremely compute-intensive. We consider the class of individual-based simulations where the simulated entities interact with one another indirectly through the underlying simulated space, significant performance improvement is attainable through parallelism on a network of machines. We present a data distribution and an approach to reduce the communication overhead, which leads to significant performance improvements while preserving the accuracy of the simulation. © 2009 Springer.
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