Parallel discrete-event simulation of population dynamics

Research in parallel simulation has been around for more than two decades. However, the number of papers reporting on its application to real world problems is limited. At the 2002 PADS conference, researchers discussed the need to go beyond synchronization and performance issues, and, in particular, to demonstrate that parallel simulation could be used in real world applications outside military and network simulations. Since then, we have seen an increase in the number of papers on the parallel simulation applications in areas such as operations management and the physical sciences. This paper advocates the application of parallel simulation in population dynamics which is often used as the basis for policy planning and analysis. In this paper, we show how the simulation model is implemented using the ¿sik parallel simulation library. We conduct some experiments to measure the simulation performance. The result shows that good event parallelism can be achieved.

[1]  K. Mani Chandy,et al.  Distributed Simulation: A Case Study in Design and Verification of Distributed Programs , 1979, IEEE Transactions on Software Engineering.

[2]  Randal E. Bryant,et al.  A Switch-Level Model and Simulator for MOS Digital Systems , 1984, IEEE Transactions on Computers.

[3]  Ann Harding,et al.  THE IMPACT OF DEMOGRAPHIC AND OTHER CHANGES ON EXPENDITURE ON PHARMACEUTICAL BENEFITS IN 2020 IN AUSTRALIA , 1998 .

[4]  Michael Pidd,et al.  Computer Simulation in Management Science (3rd Edition) , 1998 .

[5]  R.M. Fujimoto,et al.  Parallel and distributed simulation systems , 2001, Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304).

[6]  Lan Chen,et al.  High performance simulation in quasi-continuous manufacturing plants , 2005, Proceedings of the Winter Simulation Conference, 2005..

[7]  Christopher D. Carothers,et al.  Efficient optimistic parallel simulations using reverse computation , 1999, Workshop on Parallel and Distributed Simulation.

[8]  Brantley Liddle,et al.  Demographic Dynamics and Sustainability: Insights from an Integrated, Multi-country Simulation Model , 2002 .

[9]  Kalyan S. Perumalla,et al.  /spl mu/sik - a micro-kernel for parallel/distributed simulation systems , 2005, Workshop on Principles of Advanced and Distributed Simulation (PADS'05).

[10]  Kalyan S. Perumalla Scaling time warp-based discrete event execution to 104 processors on a Blue Gene supercomputer , 2007, CF '07.

[11]  David R. Jefferson,et al.  Virtual time , 1985, ICPP.

[12]  Richard M. Fujimoto,et al.  Parallel and Distribution Simulation Systems , 1999 .

[13]  Richard M. Fujimoto,et al.  Parallel event-driven neural network simulations using the Hodgkin-Huxley neuron model , 2005, Workshop on Principles of Advanced and Distributed Simulation (PADS'05).

[14]  Richard M. Fujimoto,et al.  Optimistic parallel discrete event simulations of physical systems using reverse computation , 2005, Workshop on Principles of Advanced and Distributed Simulation (PADS'05).