The invention belongs to the technical field of parallel
discrete event simulation and network
system simulation, and discloses an intelligent
hybrid parallel synchronization method oriented to large-scale distributed
simulation. The method comprises the following steps of: evaluating the load and communication state of a
system in real time, acquiring key operation indexes, judging to enter an optimistic or conservative optimal opportunity, and preventing frequent switching by utilizing a hysteretic mechanism and minimum
residence time, so as to achieve the aim of improving the communication performance of the
system, such as a neighborhood
timestamp lower bound, next event time, round-trip
delay quantile, cross-partition event output rate,
virtual time jitter and the like. A time bounded gate is arranged at a
mode switching boundary, only events in a safe range are allowed to spread, events exceeding the range are temporarily stored and sent in batches after conditions are met, and therefore causal consistency is guaranteed. According to the method, the real-time performance and the robustness are both considered, the global null
waiting time is shortened, real-time online acceleration and stable submission are conveniently realized in a
simulation platform and a
message passing interface, and the method has both performance and
interpretability.