High performance parallel logic simulations on a network of workstations
PADS '93 Proceedings of the seventh workshop on Parallel and distributed simulation
Evaluating the use of pre-simulation in VLSI circuit partitioning
PADS '94 Proceedings of the eighth workshop on Parallel and distributed simulation
A static partitioning and mapping algorithm for conservative parallel simulations
PADS '94 Proceedings of the eighth workshop on Parallel and distributed simulation
The dynamic load balancing of clustered time warp for logic simulation
PADS '96 Proceedings of the tenth workshop on Parallel and distributed simulation
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The partitioning of systems for parallel simulation is a complex task, requiring consideration of both computational load requirements and communications activity. Typically, this information is not accurately known prior to execution. This paper investigates the use of historical information for the prediction of future requirements, both for computation and communications. In addition, for optimistic simulation algorithms, we present a novel technique (which we call predictive optimism) whereby binary prediction schemes can be used to increase the accuracy of optimistic assumptions, thereby decreasing rollbacks and potentially improving overall simulator performance.