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.
CITATION STYLE
Liu, J., Dillencourt, M. B., Bic, L. F., Gillen, D., & Lander, A. D. (2009). Distributed individual-based simulation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5704 LNCS, pp. 590–601). https://doi.org/10.1007/978-3-642-03869-3_56
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