Distributed discrete-event simulation
ACM Computing Surveys (CSUR)
Parallel discrete event simulation
Communications of the ACM - Special issue on simulation
Using MPI: portable parallel programming with the message-passing interface
Using MPI: portable parallel programming with the message-passing interface
Time Warp simulation on clumps
PADS '99 Proceedings of the thirteenth workshop on Parallel and distributed simulation
A spectrum of options for parallel simulation
WSC '88 Proceedings of the 20th conference on Winter simulation
ROSS: a high-performance, low memory, modular time warp system
PADS '00 Proceedings of the fourteenth workshop on Parallel and distributed simulation
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Optimization of Parallel Discrete Event Simulator for Multi-core Systems
IPDPS '12 Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium
Can PDES scale in environments with heterogeneous delays?
Proceedings of the 2013 ACM SIGSIM conference on Principles of advanced discrete simulation
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The performance of fine-grained applications such as Parallel Discrete Event Simulation (PDES) is limited by communication overheads. Multi-core architectures with tightly integrated cores on a single chip can substantially reduce the communication cost. The number of cores available on such machines remains low. To scale the simulation, it is important to be able to effectively use Clusters of Multicores (CMs). However, the high communication overheads between remote machines can significantly limit scalability. It is unclear if, in the presence of relatively slow links, there is a benefit of having the low latency between the cores on the same machine. In this paper, we first extended a multithreaded PDES simulator to support CMs. In addition, we show that remote communication forms a primary challenge to scalability due to both latency and message processing software overheads.