W.M. Loucks and B.R. Preiss. "The role of knowledge in distributed simulation". In SCS Multiconference on Distributed Simulation, pages 9--16, 1990. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Strategies For The Modelling And Simulation Of Asynchronous.. - Theodoropoulos (1995) (Correct)
.... Lookahead is an important aspect of conservative simulation and is essential for both the correctness and performance of protocols and several mechanisms have been developed which attempt to exploit the characteristics of the simulated system to improve lookahead [Nico88] Lin89] Wagn89] [Louc90] [Pete93] Generally, the lookahead information required for the calculation of timestamps of the Null messages is application dependent and is explicitly provided to the processes in advance by the simulation programmer, although attempts for their automatic calculation have been made [Cota90] ....
Loucks, W. M., Preiss, B. R., "The Role of Knowledge in Distributed Simulation", Proceedings of the 1990 SCS Multiconference on Distributed Simulation, SCS Simulation Series, January 1990, pp. 9-16.
Parallel Discrete Event Simulation - Overeinder, Hertzberger, Sloot (1991) (2 citations) (Correct)
....received. Fujimoto describes lookahead quantitatively using a parameter called the lookahead ratio and presents empirical data to demonstrate the importance of exploiting lookahead to achieve good performance [Fuj89] Other studies of the performance as a function of lookahead can be found in [Lin89, Lou90, Su89]. 3.4 Optimistic Methods In optimistic approaches a process s clock may run ahead of the clocks of its incoming links and if errors are made in the chronology a procedure to recover is invoked. In contrast to conservative approaches, optimistic strategies need not determine when it is safe to ....
Loucks, W.M., and B.R. Preiss, "The Role of Knowledge in Distributed Simulation," Proceedings of the SCS Multiconference on Distributed Simulation, pp. 9--16, San Diego (CA), January 1990.
Performance of Discrete Event Simulation on a Multiprocessor.. - Preiss (1990) Self-citation (Preiss) (Correct)
....actions that the LP will take up to time T t[13, 14] The degree to which an LP can predict depends on the system being simulated and on the implementation of the simulation. The simulation programmer can affect the latter by incorporating more knowledge into the implementation of the simulation[3, 15, 16]. 5.1. Epsilon Lookahead The smallest possible lookahead is zero. However, distributed simulation using conservative synchronization will immediately deadlock if all processes have zero lookahead. To avoid this deadlock, the epsilon lookahead model uses a lookahead equal to the smallest possible ....
Loucks, W. M. and Preiss, B. R., "The Role of Knowledge in Distributed Simulation," Proc. SCS Multiconf. --- Distributed Simulation, pp. 9-16, January 1990.
On the Trade-off between Time and Space in Optimistic.. - Preiss, MacIntyre.. (1992) (14 citations) Self-citation (Loucks Preiss) (Correct)
....Inc. 4 4. Experimental Overview The results presented in this paper were obtained from parallel simulations of closed stochastic queueing network benchmarks based on those described in [10] The following is a very brief description of the benchmarks. For more detailed descriptions see [8, 12, 14, 15]. Each simulation was implemented in three ways (discussed in Section 4.2) These implementations were coded and run on a transputer system (Section 4.3) and a number of experiments were performed on the system (Section 4.4) 4.1. Benchmarks The system simulated is a static network of nodes. ....
Loucks, W. M. and Preiss, B. R., "The Role of Knowledge in Distributed Simulation," Proc. SCS Eastern Multiconf. --- Distributed Simulation, Society for Computer Simulation, January 1990. pp. 9-16,
Optimal Memory Management for Time Warp Parallel Simulation - Lin, Preiss (1991) (18 citations) Self-citation (Preiss) (Correct)
....approaches for parallel simulation are discussed elsewhere [5, 10, 13, 16, 22, 26, 27] An introduction to the Chandy Misra protocol and the Time Warp protocol can be found in [5] Recently there has been a great deal of interest in performance evaluation of parallel simulation. Most work [3, 4, 13, 14, 15, 18, 19, 20, 21, 23, 24, 29] is devoted to the time complexity and assumes that the amount of memory available for parallel simulation is unlimited. This paper studies the space complexity of parallel simulation. We derive the relationships of the space complexities among sequential simulation, Chandy Misra simulation, and ....
Loucks, W.M., and Preiss, B.R. The Role of Knowledge in Distributed Simulation. Proc. 1990.
Discrete-Event Simulation on the Bulk-Synchronous Parallel Model - Marin (1998) (Correct)
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W.M. Loucks and B.R. Preiss. "The role of knowledge in distributed simulation". In SCS Multiconference on Distributed Simulation, pages 9--16, 1990.
Scheduling Critical Channels in Conservative Parallel.. - Xiao, Unger.. (1999) (11 citations) (Correct)
No context found.
W. Loucks and B. Preiss, "The Role of Knowledge in Distributed Simulation", Proceedings of the SCS Multiconference on Distributed Simulation, pp9-16, San Diego, January 1990.
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