Parallel discrete-event simulation of population dynamics

Proceedings - Winter Simulation Conference

Volumn , Issue , 2008, Pages 1047-1054

  Onggo, Bhakti Satyabudhi Stephan ^a  

^a LANCASTER UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

NETWORK SIMULATIONS; OPERATIONS MANAGEMENTS; PARALLEL DISCRETE-EVENT SIMULATIONS; PARALLEL SIMULATIONS; PERFORMANCE ISSUES; PHYSICAL SCIENCE; POLICY PLANNING; REAL-WORLD APPLICATIONS; REAL-WORLD PROBLEMS; SIMULATION MODELS; SIMULATION PERFORMANCE;

DYNAMICS;

MILITARY APPLICATIONS;

EID: 60749093934     PISSN: 08917736     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WSC.2008.4736172     Document Type: Conference Paper

References (16)

1. Bonnet, C, and R. Malrieu. 2000. Public pensions in a dy namic microanalytic framework: the case of France. In Microsimulation modelling for policy analysis: challenges and innovations, ed. L. Mitton, H. Shuterland, and M. Weeks, 175-199. Cambridge, UK: Cambridge University Press.
2. Bryant, R.E. 1984. A Switch-Level Model and Simulator for MOS Digital Systems. IEEE Transaction on Computers 33 (2): 160-177.
3. Carothers, C, K.S. Perumalla, and R.M. Fujimoto. 1999. Efficient optimistic parallel simulations using reverse computation. in Proceedings of the 13th Workshop on Parallel and Distributed Simulation, 126-135.
4. Chandy, K.M., and J. Misra. 1979. Distributed Simulation: a Case Study in Design and Verification of Distributed Programs. IEEE Transaction on Software Engineering 5 (5): 440-452.
5. Fujimoto, R.M. 2000. Parallel and distributed simulation systems. John Wiley & Sons.
6. Hinde, A. 1998. Demographic methods. London, UK: Arnold.
7. Jefferson, D.A. 1985. Virtual Time. ACM Transaction on Programming Language System 7 (3): 404-425.
8. Lan, C. and M. Pidd. 2005. High performance simulation in quasi-continuous manufacturing plants. In Proceedings of the 2005 Winter Simulation Conference, ed. M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, 1367-1372. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc.
9. Liddle, B. 2002. Demographic dynamics and sustainability: insights from an integrated multi-country simulation model. Working Paper WP 2002-039, Max Planck Institute for Demographic Research, Rostock, Germany.
10. Lobb, C.J., Z. Chao, R.M. Fujimoto, and S.M. Potter. 2005 Parallel event-driven neural network simulations using the Hodgkin-Huxley neuron model. In Proceedings of the 19th Workshop on Principles of Advanced and Distributed Simulation, 16-25.
11. Perumalla, K.S. 2005. μsik - a micro-kernel for parallel/distributed simulation systems. In Proceedings of the 19th Workshop on Principles of Advanced and Distributed Simulation, 59-68.
12. Perumalla, K.S. 2007. Scaling time warp-based discreteevent execution to 104 processors on a blue gene supercomputer. In Proceedings of the 4th International Conference on Computing Frontiers, 69-76.
13. Pidd, M. 2004. Computer simulation in management science. 5th ed. Chichester, England: John Wiley & Sons.
14. Pressat, R. 1985. Demographic analysis. Chicago: Aldine Atherton.
15. Tang, Y., K.S. Perumalla, R.M. Fujimoto, H. Karimabadi, J. Driscoll, and Y. Omelchenko. 2005. Optimistic parallel discrete event simulations of physical systems using reverse computation, In Proceedings of the 19th Workshop on Principles of Advanced and Distributed Simulation, 26-35.
16. Walker, A., R. Percival, and A. Harding. 2000. The impact of demographic and other changes on expenditure on pharmaceutical benefits in 2020 in Australia. In Microsimulation modelling for policy analysis: challenges and innovations, ed. L. Mitton, H. Shuterland, and M. Weeks, 149-171. Cambridge, UK: Cambridge University Press.