An algorithm selection approach for simulation systems

Proceedings - Workshop on Principles of Advanced and Distributed Simulation, PADS

Volumn , Issue , 2008, Pages 91-98

  Ewald, Roland ^a   Himmelspach, Jan ^a   Uhrmacher, Adelinde M ^a  

^a UNIVERSITY OF ROSTOCK   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BOOLEAN FUNCTIONS; EVOLUTIONARY ALGORITHMS; MECHANISMS;

DISTRIBUTED SIMULATIONS; SIMULATION SYSTEMS;

INTELLIGENT SYSTEMS;

EID: 50849084783     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PADS.2008.9     Document Type: Conference Paper

References (24)

1. Java SciMark: http://math.nist.gov/scimark2/.
2. Michael W. Berry, Jack J. Dongarra, and Brian H. Larose. The development and implementation of a performance database server. Technical report, Knoxville, TN, USA, 1993.
3. Yang Cao, Daniel T. Gillespie, and Linda R. Petzold. Efficient step size selection for the tau-leaping simulation method. J Chem Phys, 124(4), Jan 2006.
4. Yang Cao, Hong Li, and Linda Petzold. Efficient formulation of the stochastic simulation algorithm for chemically reacting systems. The Journal of Chemical Physics, 121(9):4059-4067, 2004.
5. Erich Gamma, Richard Helm, Ralph Johnson, and John Vlissides. Design Patterns: elements of reusable object-oriented software. Addison-Wesley, Reading, MA, USA, 1995.
6. Michael A. Gibson and Jehoshua Bruck. Efficient Exact Stochastic Simulation of Chemical Systems with Many Species and Many Channels. J. Chem. Physics, 104:1876-1889, 2000.
7. Daniel T. Gillespie. A general method for numerically simulating the stochastic time evolution of coupled chemical reactions. Journal of Computational Physics, 22, 1976.
8. Rick S. Goh and Ian L. Thng. Mlist: An efficient pending event set structure for discrete event simulation. International Journal of Simulation - Systems, Science & Technology, 4(5-6):66-77, December 2003.
9. Carla P. Gomes and Bart Selman. Algorithm portfolio design: Theory vs. practice. In Proc. of the 13th Conf. on Uncertainty in Artificial Intelligence (UAI-97), pages 190-197. Morgan Kaufmann, 1997.
10. Jan Himmelspach. Konzeption, Realisierung und Verwendung eines allgemeinen Modellierungs-, Simulations- und Experimentiersystems - Entwicklung und Evaluation effizienter Simulationsalgorithmen. PhD thesis, University of Rostock, Rostock, 2007.
11. Jan Himmelspach and Adelinde M. Uhrmacher. Sequential processing of PDEVS models. In EMSS, 2006.
12. Jan Himmelspach and Adelinde M. Uhrmacher. Plug'n simulate. In Proceedings of the Spring Simulation Multiconference, 2007.
13. E. N. Houstis, A. Catlin, J. Rice, V. Verykios, N. Ramakrishnan, and C. Houstis. Pythia ii: A knowledge/-database system for managing performance data and recommending scientific software. ACM Transactions on Mathematical Software, 26(2):227-253, 2000.
14. Elias N. Houstis and John R. Rice. Future problem solving environments for computational science. pages 93-114, 2002.
15. Bernardo A. Huberman, Rajan M. Lukose, and Tad Hogg. An economics approach to hard computational problems. Science, 275:51-54, 1997.
16. Kevin A. Huck, Allen D. Malony, Robert Bell, and Alan Morris. Design and implementation of a parallel performance data management framework. In ICPP '05: Proc. of the 2005 Int'l Conf. on Parallel Processing, pages 473-482. IEEE, 2005.
17. Engin Ipek, Sally A. Mckee, Karan Singh, Rich Caruana, Bronis R. de Supinski, and Martin Schulz. Efficient architectural design space exploration via predictive modeling. ACM Trans. Archit. Code Optim., 4(4):1-34, January 2008.
18. Michail G. Lagoudakis and Michael L. Littman. Algorithm selection using reinforcement learning. In Proc. 17th International Conf. on Machine Learning, pages 511-518. Morgan Kaufmann, San Francisco, CA, 2000.
19. Kevin Leyton-Brown, Eugene Nudelman, Galen Andrew, Jim Mcfadden, and Yoav Shoham. Boosting as a metaphor for algorithm design. In ICCP: International Conference on Constraint Programming (CP), LNCS, 2003.
20. Catherine C. McGeoch. Experimental algorithmics. Communications of the ACM, 50(11):27-31, November 2007.
21. Dragan Mirkovic and Lennart Johnsson. Automatic performance tuning for fast fourier transforms. Int. J. High Perform. Comput. Appl., 18(1):47-64, February 2004.
22. John R. Rice. The algorithm selection problem. Advances in Computers, 15:65-118, 1976.
23. Valerie Taylor, Xingfu Wu, and Rick Stevens. Prophesy: an infrastructure for performance analysis and modeling of parallel and grid applications. SIGMET-RICS Perform. Eval. Rev., 30(4):13-18, March 2003.
24. Ian H. Witten and Eibe Frank. Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann, October 1999.