<span class="var-sub_title">FLAME GPU: Complex System Simulation Framework</span> SC18 Proceedings

The International Conference for High Performance Computing, Networking, Storage, and Analysis

Women in HPC: Diversifying the HPC Community

FLAME GPU: Complex System Simulation Framework

Authors: Mozhgan Kabiri Chimeh (University of Sheffield)

Abstract: Agent based modeling can be used to represent complex systems at differing biological scales

FLAME GPU (Flexible Large Scale Agent Based Modelling Environment) : • Aim: High performance agent based simulation without writing lots of GPU code • Technique: Agents are state machines with memory (communicating X-Machines) o Uses state based agents to automatically generate CUDA GPU simulation code • Optimisations: Reduce divergence and use efficient data structures/algorithms for common agent based behaviours • Scope: Large numbers of relatively simple discrete time step agents • Examples: o Swarm simulations o Cellular level simulation of epithelium tissue growth o Pedestrian simulation

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