Distributed discrete-event simulation
ACM Computing Surveys (CSUR)
Parallel discrete event simulation
Communications of the ACM - Special issue on simulation
An algorithm for minimally latent global virtual time
PADS '93 Proceedings of the seventh workshop on Parallel and distributed simulation
Efficient algorithms for distributed snapshots and global virtual time approximation
Journal of Parallel and Distributed Computing - Special issue on parallel and discrete event simulation
pGVT: an algorithm for accurate GVT estimation
PADS '94 Proceedings of the eighth workshop on Parallel and distributed simulation
The pessimism behind optimistic simulation
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
Distributed snapshots: determining global states of distributed systems
ACM Transactions on Computer Systems (TOCS)
Visual Programming and Debugging for Parallel Computing
IEEE Parallel & Distributed Technology: Systems & Technology
Distributed simulation, algorithms and performance analysis (load balancing, distributed processing)
Distributed simulation, algorithms and performance analysis (load balancing, distributed processing)
Visualizing parallel simulations in network computing environments: a case study
Proceedings of the 29th conference on Winter simulation
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Parallel and Distributed Simulation (PADS) algorithms are typically categorized to belong to one of two categories. They are either conservative or optimistic with respect to the method of handling causality. Conservative systems strictly preserve causality, while optimistic systems detect and correct causality errors when they occur. Time Warp is the basis of optimistic algorithms where rolling back the simulation clock allows the simulation to correct for errors. The Global Virtual Time (GVT) is the variable that maintains information about simulation progress, termination decision, and for committing input/output data. In this paper the basis for an environment for visualization distributed simulations with time warp on a network of UNIX workstations is presented. The visualization environment provides a graphical overview of simulation processes, and provides insight for algorithm performance. Extensions to the visualizations are also possible for animation of simulation results.