Name
Abstract | ||
|---|---|---|
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.
|
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-03869-3_56 | European Conference on Parallel Processing |
Keywords | Field | DocType |
individual-based simulation,complex system,underlying simulated space,simulated entities interact,significant performance improvement,parallel and distributed computing,main drawback,communication overhead,performance.,data distribution,important class,autonomous entity,performance | Drawback,Computer science,Performance improvement,Distributed computing | Conference |
Volume | ISSN | Citations |
5704 | 0302-9743 | 1 |
PageRank | References | Authors |
0.78 | 2 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiming Liu | 1 | 3241 | 312.47 |
| Michael B. Dillencourt | 2 | 498 | 57.58 |
| Lubomir F. Bic | 3 | 147 | 19.23 |
| Daniel Gillen | 4 | 1 | 0.78 |
| Arthur D. Lander | 5 | 17 | 3.97 |