A high performance agent based modelling framework on graphics card hardware with CUDA Export

@inproceedings{citeulike:5503253, abstract = {We present an efficient implementation of a high performance parallel framework for Agent Based Modelling (ABM), exploiting the parallel architecture of the Graphics Processing Unit (GPU). It provides a mapping between formal agent specifications, with C based scripting, and optimised NVIDIA Compute Unified Device Architecture (CUDA) code. The mapping of agent data structures and agent communication is described, and our work is evaluated through a number of simple interacting agent examples. In contrast with an alternative, single machine CPU implementation, a speedup of up to 250 times is reported.}, address = {Richland, SC}, author = {Richmond, Paul and Coakley, Simon and Romano, Daniela M.}, booktitle = {AAMAS '09: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems}, citeulike-article-id = {5503253}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1558109.1558172}, isbn = {978-0-9817381-7-8}, keywords = {abm, agent, cuda, graphics\_processing\_unit}, location = {Budapest, Hungary}, pages = {1125--1126}, posted-at = {2009-10-05 16:23:34}, priority = {2}, publisher = {International Foundation for Autonomous Agents and Multiagent Systems}, title = {A high performance agent based modelling framework on graphics card hardware with CUDA}, url = {http://portal.acm.org/citation.cfm?id=1558109.1558172}, year = {2009} }

TY - CONF ID - citeulike:5503253 L3 - citeulike-article-id:5503253 N2 - We present an efficient implementation of a high performance parallel framework for Agent Based Modelling (ABM), exploiting the parallel architecture of the Graphics Processing Unit (GPU). It provides a mapping between formal agent specifications, with C based scripting, and optimised NVIDIA Compute Unified Device Architecture (CUDA) code. The mapping of agent data structures and agent communication is described, and our work is evaluated through a number of simple interacting agent examples. In contrast with an alternative, single machine CPU implementation, a speedup of up to 250 times is reported. CY - Budapest, Hungary SN - 978-0-9817381-7-8 AD - Richland, SC EP - 1126 TI - A high performance agent based modelling framework on graphics card hardware with CUDA PB - International Foundation for Autonomous Agents and Multiagent Systems T2 - AAMAS '09: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems SP - 1125 KW - abm KW - agent KW - cuda KW - graphics_processing_unit AU - Richmond, Paul AU - Coakley, Simon AU - Romano, Daniela PY - 2009/// UR - http://portal.acm.org/citation.cfm?id=1558109.1558172 ER -