Parallel and Distribution Simulation Systems
Parallel and Distribution Simulation Systems
Theory of Modeling and Simulation
Theory of Modeling and Simulation
Exploiting Temporal Uncertainty in Time Warp Simulations
DS-RT '00 Proceedings of the Fourth IEEE International Workshop on Distributed Simulation and Real-Time Applications
Parallel and distributed simulation: traditional techniques and recent advances
Proceedings of the 38th conference on Winter simulation
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
An approach for the effective utilization of GP-GPUs in parallel combined simulation
Proceedings of the 40th Conference on Winter Simulation
Reversible Parallel Discrete-Event Execution of Large-Scale Epidemic Outbreak Models
PADS '10 Proceedings of the 2010 IEEE Workshop on Principles of Advanced and Distributed Simulation
On deciding between conservative and optimistic approaches on massively parallel platforms
Proceedings of the Winter Simulation Conference
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Parallel simulations focus on conservative or optimistic algorithms to guarantee state consistency and causal order of messages between logical processes (LPs). It is usually hard for application domain users to develop complicated models for parallel simulations. For simplicity in large-scale artificial society, a modified DEVS component model is advocated in time-stepped parallel simulation with two-phase synchronization. A two-tier parallel simulation engine is designed on CPU/GPU mixed architecture with support of MPI and OpenCL. One-sided communication is selected for reflection of remote components and message passing between LPs. For cooperation between CPU and GPU, a size of 512 work items in each group is recommended. The parallel simulation engine is implemented in a micro kernel manner. An artificial society based on agent, container, grid and relation models are used to test the performance on an ordinary computer and a cluster with varied scales. The maximum speedup reaches 46 and 114 on the computer and the cluster respectively with about half a million agents.