Abstract
Synchronous, parallel discrete event simulation (PDES) is the simplest and lightweight approach to speedup large-scale simulations by scheduling as many events, of the same simulation cycle, to be executed concurrently. The scheduling technique to achieve perfect load balance and scalability is a key challenge for an efficient synchronous PDES. In this paper, we proposed a technique for balancing loads to fit the number of available processors on multicores. The technique has been implemented on a synchronous PDES tool called P-HASE (the Parallel - Hierarchical computer Architecture design and Simulation Environment) using the NET 4.0 concurrency runtime and OpenMP. Eight simulation models have been evaluated on 4-, 8-, and 16- core machines. The results show that the models using P-HASEare faster than HASE for 18 – 6.5 times; and maintain their performance when changing the numbers of processors. The results confirm that the simulation models created by using the P-HASE tool are highly scalable for multicore architecture.
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References
Fujimoto, R.M.: Parallel discrete event simulation. In: Proceedings of the 21st Conference on Winter Simulation, pp. 19–28. ACM, Washington, D.C. (1989)
Lim, C.-C., Gan, B.-P., Low, Y.-H.: Computing Safetime in a Conservative Synchro-nous Simulation Based on Future Events. In: PDPTA 1999, pp. 2436–2442 (1999)
Chen, J., Annavaram, M., Dubois, M.: SlackSim: a platform for parallel simulations of CMPs on CMPs. SIGARCH Comput. Archit. News 37(2), 20–29 (2009)
Kim, H., Yun, D., Ha, S.: Scalable and retargetable simulation techniquesfor multi-processor systems. In: Proceedings of the 7th IEEE/ACM International Conference on Hardware/Software Codesign and System Synthesis, pp. 89–98. ACM, Grenoble (2009)
Schumacher, C., et al.: parSC: synchronous parallel systemc simulation on multi-core host architectures. In: Proceedings of the Eighth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis, pp. 241–246. ACM, Scottsdale (2010)
Weingärtner, E., et al.: SliceTime: a platform for scalable and accurate network emulation. In: Proceedings of the 8th USENIX Conference on Networked Systems Design and Implementation, pp. 19–19. USENIX Association, Boston (2011)
Fujimoto, R.M.: Parallel and distributed simulation. In: Proceedings of the 31st Conference on Winter Simulation: Simulation—a Bridge to the Future, vol. 1, pp. 122–131. ACM, Phoenix (1999)
Jinshen, X., Chung, M.J.: Predicting the performance of synchronous discrete event simulation. IEEE Transactions on Parallel and Distributed Systems 15(12), 1130–1137 (2004)
Over, A., Clarke, B., Strazdins, P.: A Comparison of Two Approaches to Parallel Simulation of Multiprocessors. In: IEEE International Symposium on Performance Analysis of Systems & Software, ISPASS 2007, pp. 12–22 (2007)
Park, H., Fishwick, P.A.: A fast hybrid time-synchronous/event approach to parallel discrete event simulation of queuing networks. In: Proceedings of the 40th Conference on Winter Simulation 2008, Miami, Florida, pp. 795–803 (2008)
Park, H., Fishwick, P.A.: An analysis of queuing network simulation using GPU-based hardware acceleration. ACM Trans. Model. Comput. Simul. 21(3), 1–22 (2011)
Mackey, A.: Parallelization and Threading Enhancements. In: Introducing .NET 4.0, pp. 97–126. Apress (2010)
Coe, P.S., et al.: Technical note: a hierarchical computer architecture design and simula-tion environment. ACM Trans. Model. Comput. Simul. 8(4), 431–446 (1998)
Sulistio, A., Yeo, C.S., Buyya, R.: A taxonomy of computer-based simulations and its mapping to parallel and distributed systems simulation tools. Software: Practice and Experience 34(7), 653–673 (2004)
Mallet, F., Alam, S., Ibbett, R.N.: An Extensible Clock Mechanism for Computer Architecture Simulations. In: Proceedings of the 13th IASTED International Conference on Modelling and Simulation 2002, Marina del Rey, California (2002)
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Mongkolsin, Y., Marurngsith, W. (2012). P-HASE: An Efficient Synchronous PDES Tool for Creating Scalable Simulations. In: Xiao, T., Zhang, L., Fei, M. (eds) AsiaSim 2012. AsiaSim 2012. Communications in Computer and Information Science, vol 325. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34387-2_27
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DOI: https://doi.org/10.1007/978-3-642-34387-2_27
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