SOSP '87 Proceedings of the eleventh ACM Symposium on Operating systems principles
Parallel discrete event simulation
Communications of the ACM - Special issue on simulation
A spectrum of options for parallel simulation
WSC '88 Proceedings of the 20th conference on Winter simulation
PORTS: a parallel, optimistic, real-time simulator
PADS '94 Proceedings of the eighth workshop on Parallel and distributed simulation
Discrete-event simulation and the event horizon
PADS '94 Proceedings of the eighth workshop on Parallel and distributed simulation
XTracker, a graphical tool for parallel simulations
PADS '95 Proceedings of the ninth workshop on Parallel and distributed simulation
NPSI adaptive synchronization algorithms for PDES
WSC '95 Proceedings of the 27th conference on Winter simulation
Discrete-event simulation and the event horizon part 2: event list management
PADS '96 Proceedings of the tenth workshop on Parallel and distributed simulation
Adaptive flow control in time warp
Proceedings of the eleventh workshop on Parallel and distributed simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on modeling and analysis of stochastic systems
Efficient Execution of Time Warp Programs on Heterogeneous, NOW Platforms
IEEE Transactions on Parallel and Distributed Systems
ROSS: a high-performance, low memory, modular time warp system
PADS '00 Proceedings of the fourteenth workshop on Parallel and distributed simulation
SS '96 Proceedings of the 29th Annual Simulation Symposium (SS '96)
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Optimistic methods of synchronizing parallel discrete event simulations can be risky by sending (positive) messages (events) before they have been committed. Risky methods often use anti-messages (negative messages) to cancel incorrectly sent positive messages. Riskfree methods are more conservative, they do not send messages until they are known to be correct. The Time Warp Operating System (TWOS) uses anti-messages. Riskfree TWOS is implemented and tested on the standard TWOS benchmarks. Performance of the riskfree TWOS is dependent on the amount of lookahead in the simulation. Good lookahead was required for even reasonable performance. Tracker, a simulation of the riskfree simulation, is used to give idealized best case riskfree performance. BeRisky is an example simulation which has a speedup of n for Time Warp, but only a speedup of 2 for riskfree methods.