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Browse All Reviews > Computing Methodologies (I) > Simulation And Modeling (I.6) > Types Of Simulation (I.6.8) > Parallel (I.6.8...)
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1-10 of 18
Reviews about "Parallel (I.6.8...)":
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Parallel numerical simulation with domain decomposition for seismic response analysis of shield tunnel Guo Y., Jin X., Ding J. Advances in Engineering Software 37(7): 450-456, 2006. Type: Article
The divide and conquer approach of domain decomposition methods for the parallelization of engineering simulations has been very successful. This paper presents another implementation of this approach for seismic response analysis of a...
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Sep 8 2006 |
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A taxonomy of computer-based simulations and its mapping to parallel and distributed systems simulation tools Sulistio A., Yeo C., Buyya R. Software--Practice & Experience 34(7): 653-673, 2004. Type: Article
A good review of ten simulation tools for parallel and distributed systems is presented in this paper. The reviewed systems are: SimOS, SimJava, NS-2, Parsec, GloMoSim, Bricks, GridSim, MicroGrid, SimGrid, and Ptolemy II. The paper can...
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Feb 25 2005 |
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Composite Synchronization in Parallel Discrete-Event Simulation Nicol D., Liu J. IEEE Transactions on Parallel and Distributed Systems 13(5): 433-446, 2002. Type: Article
Synchronization techniques in parallel discrete-event simulation are categorized as conservative and optimistic. Conservative synchronization techniques can be categorized into “synchronous” and “asynchro...
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Jan 20 2003 |
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Parallel shared-memory simulator performance for large ATM networks Unger B. (ed), Xiao Z., Cleary J., Tsai J., Williamson C. ACM Transactions on Modeling and Computer Simulation 10(4): 358-391, 2000. Type: Article
Experiments investigating the performance of two parallel shared-memory simulators are described. The emphasis is on real-life, complex, and heterogeneous problems....
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May 1 2001 |
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Efficient optimistic parallel simulations using reverse computation Carothers C., Perumalla K., Fujimoto R. ACM Transactions on Modeling and Computer Simulation 9(3): 224-253, 1999. Type: Article
Parallel simulation models generally take one of two approaches: optimistic or conservative. The optimistic approach allows the model to reach an unacceptable state, then rolls back to an acceptable state after realizing that it has re...
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Aug 1 2000 |
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Adaptive memory management and optimism control in time warp Das S., Fujimoto R. ACM Transactions on Modeling and Computer Simulation 7(2): 239-271, 1997. Type: Article
Time Warp is an optimistic synchronization protocol in parallel simulation computations. At runtime, it detects out-of-sequence events and recovers by rolling back the calculation to properly account for the events. Time Warp has two m...
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Sep 1 1997 |
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Superfast parallel discrete event simulations Greenberg A., Lubachevsky B., Mitrani I. ACM Transactions on Modeling and Computer Simulation 6(2): 107-136, 1996. Type: Article
According to the abstract, “this paper summarizes previous results” relating to algorithms for exploiting parallel computing machines for discrete event simulation. The algorithms have been previously published. The...
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May 1 1997 |
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Parallel independent replicated simulation on a network of workstations Lin Y. (ed) ACM SIGSIM Simulation Digest 24(1): 73-80, 1994. Type: Article
Parallel simulation refers to the execution of a single simulation on multiple cooperating processors. In this setting, speedup is measured relative to the execution time of the same simulation on a single processor. Lin adopts a more ...
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Dec 1 1995 |
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Parallel discrete event simulation: a modeling methodological perspective Page E., Nance R. ACM SIGSIM Simulation Digest 24(1): 88-93, 1994. Type: Article
The future suitability of simulation as a viable tool to analyze large, complex, and elaborate systems relies on the concurrent execution of the simulation program in parallel or distributed multiprocessing environments. In the last 15...
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Sep 1 1995 |
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Understanding supercritical speedup Gunter M. ACM SIGSIM Simulation Digest 24(1): 81-87, 1994. Type: Article
The author characterizes the speedup of parallel discrete event simulation (PDES) programs relative to their concomitant critical path estimations. The ability of a parallel implementation to outperform the critical path is related to ...
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Jun 1 1995 |
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