SOSP '87 Proceedings of the eleventh ACM Symposium on Operating systems principles
Analysis of parallel replicated simulations under a completion time constraint
ACM Transactions on Modeling and Computer Simulation (TOMACS)
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Splitting for rare event simulation: analysis of simple cases
WSC '96 Proceedings of the 28th conference on Winter simulation
Cloning: a novel method for interactive parallel simulation
Proceedings of the 29th conference on Winter simulation
Incremental-in-time algorithm for digital simulation
DAC '88 Proceedings of the 25th ACM/IEEE Design Automation Conference
Time-Parallel Trace-Driven Simulation of CSMA/CD
Proceedings of the seventeenth workshop on Parallel and distributed simulation
Proceedings of the eighteenth workshop on Parallel and distributed simulation
Proceedings of the 35th conference on Winter simulation: driving innovation
Towards adaptive caching for parallel and discrete event simulation
WSC '04 Proceedings of the 36th conference on Winter simulation
Applying parallel and distributed simulation to remote network emulation
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Transparent and adaptive computation-block caching for agent-based simulation on a PDES core
Proceedings of the 40th Conference on Winter Simulation
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A technique called updateable simulations is proposed to reduce the time to complete multiple executions of a discrete event simulation program. This technique updates the results of a prior simulation run rather than re-execute the entire simulation to take into account variations in the underlying simulation model. A framework for creating updateable simulations is presented. This framework is applied to the problem of simulating a set of cascaded ATM multiplexers and a network of ATM switches. Performance measurements of sequential and parallel implementations of these simulations on a shared memory multiprocessor are presented, demonstrating that updateable simulations can yield substantial reductions in the time required to complete multiple simulation runs if there is much similarity among the runs.