%0 Conference Paper %1 coakley2012exploitation %A Coakley, S. %A Gheorghe, M. %A Holcombe, M. %A Chin, S. %A Worth, D. %A Greenough, C. %B 2012 IEEE 14th International Conference on High Performance Computing and Communication 2012 IEEE 9th International Conference on Embedded Software and Systems %D 2012 %K agent-based_simulation simulation software %P 538-545 %R 10.1109/HPCC.2012.79 %T Exploitation of High Performance Computing in the FLAME Agent-Based Simulation Framework %U http://ieeexplore.ieee.org/abstract/document/6332218/?reload=true %X This paper describes the design of an agent-based modelling framework for high performance computing. Rather than a collection of methods that require parallel programming expertise the framework presented allows modellers to concentrate on the model while the framework handles the efficient execution of simulations. The framework uses a state machine based representation of agents that allows a statically calculated optimal ordering of agent execution and parallel communication routines. Some experiments with the current implementation and the results of using a simple communication dominant model for benchmarking performance are reported. The model with half a million agents is used to show that a parallel efficiency of above 80% is achievable when distributed over 432 processors. Future improvements are discussed including data dependency analysis, vector operations over agents, and dynamic task scheduling.

@inproceedings{coakley2012exploitation, abstract = {This paper describes the design of an agent-based modelling framework for high performance computing. Rather than a collection of methods that require parallel programming expertise the framework presented allows modellers to concentrate on the model while the framework handles the efficient execution of simulations. The framework uses a state machine based representation of agents that allows a statically calculated optimal ordering of agent execution and parallel communication routines. Some experiments with the current implementation and the results of using a simple communication dominant model for benchmarking performance are reported. The model with half a million agents is used to show that a parallel efficiency of above 80% is achievable when distributed over 432 processors. Future improvements are discussed including data dependency analysis, vector operations over agents, and dynamic task scheduling.}, added-at = {2017-09-07T08:00:37.000+0200}, author = {Coakley, S. and Gheorghe, M. and Holcombe, M. and Chin, S. and Worth, D. and Greenough, C.}, biburl = {https://www.bibsonomy.org/bibtex/268b27f71c813ac2c0474a7b5e6922b9c/peter.ralph}, booktitle = {2012 IEEE 14th International Conference on High Performance Computing and Communication 2012 IEEE 9th International Conference on Embedded Software and Systems}, doi = {10.1109/HPCC.2012.79}, interhash = {4a6db22e07cbc63a72310eeaed1ac7cb}, intrahash = {68b27f71c813ac2c0474a7b5e6922b9c}, keywords = {agent-based_simulation simulation software}, month = {June}, pages = {538-545}, timestamp = {2017-09-07T08:00:37.000+0200}, title = {Exploitation of High Performance Computing in the {FLAME} Agent-Based Simulation Framework}, url = {http://ieeexplore.ieee.org/abstract/document/6332218/?reload=true}, year = 2012 }