Onggo, B S S and Montanola-Sales, C and Casanovas-Garcia, J (2010) Performance analysis of parallel demographic simulation. In: ESM 2010. Eurosis-ETI, N/A, pp. 142-148. ISBN 978-90-77381-57-1Full text not available from this repository.
Today, we have seen an increase in the number of papers on parallel simulation applications outside the traditional military and network simulations areas, such as in the physical science and management science. One of the new areas in which parallel simulation could be used is demography, specifically for population projection. In this paper, we report the performance evaluation results of a parallel demographic simulation tool called Yades. We investigate the effect of three factors: unbalanced workload, heterogeneous processing speed and heterogeneous communication latency on performance measures such as: time spent in executing useful events, time spent for overhead and the number of rollbacks. The results are consistent with what has been reported in other application areas of parallel simulation. Since the application in demography is new, it is useful to quantify the effect of the three factors on performance.
|Item Type:||Contribution in Book/Report/Proceedings|
|Subjects:||H Social Sciences > HB Economic Theory|
|Departments:||Lancaster University Management School > Management Science|
|Deposited On:||11 Jul 2011 21:19|
|Last Modified:||02 Dec 2016 02:30|
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