Performance prediction of large-scale parallel discrete event models of physical systems
WSC '05 Proceedings of the 37th conference on Winter simulation
Scaling an optimistic parallel simulation of large-scale interconnection networks
WSC '05 Proceedings of the 37th conference on Winter simulation
Performance prediction of large-scale parallell system and application using macro-level simulation
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
A novel approach for hybrid performance modelling and prediction of large-scale computing systems
International Journal of Grid and Utility Computing
Computers and Electrical Engineering
Proceedings of the 15th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
μπ: a scalable and transparent system for simulating MPI programs
Proceedings of the 3rd International ICST Conference on Simulation Tools and Techniques
The Journal of Supercomputing
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Parallel discrete event simulation (PDES) of models with fine-grained computation remains a challenging problem. We explore the usage of POSE, our Parallel Object-oriented Simulation Environment, for application performance prediction on large parallel machines such as BlueGene. This study involves the simulation of communication at the packet level through a detailed network model. This presents an extremely fine-grained simulation: events correspond to the transmission and receipt of packets. Computation is minimal, communication dominates, and strong dependencies between events result in a low degree of parallelism. There is limited look-ahead capability since the outcome of many events is determined by the application whose performance the simulation is predicting. Thus conservative synchronization approaches are challenging for this type of problem. We present recent experiences and performance results for our network simulator and illustrate the utility of our simulator through prediction and validation studies for a molecular dynamics application.