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DTSTAMP:20260522T150117Z
LOCATION:D220
DTSTART;TZID=America/Chicago:20181111T142700
DTEND;TZID=America/Chicago:20181111T143000
UID:submissions.supercomputing.org_SC18_sess160_ws_whpc121@linklings.com
SUMMARY:FLAME GPU: Complex System Simulation Framework
DESCRIPTION:Mozhgan Kabiri Chimeh (University of Sheffield)\n\nAgent based
  modeling can be used to represent complex systems at differing biological
  scales\n\nFLAME GPU (Flexible Large Scale Agent Based Modelling Environme
 nt) :\n•	Aim: High performance agent based simulation without writing lots
  of GPU code\n•	Technique: Agents are state machines with memory (communic
 ating X-Machines)\no	Uses state based agents to automatically generate CUD
 A GPU simulation code\n•	Optimisations: Reduce divergence and use efficien
 t data structures/algorithms for common agent based behaviours\n•	Scope: L
 arge numbers of relatively simple discrete time step agents  \n•	Examples:
  \no	Swarm simulations\no	Cellular level simulation of epithelium tissue g
 rowth\no	Pedestrian simulation\n\nTag: Diversity, Education, Hot Topics\n\
 nRegistration Category: Workshop Reg Pass\n\nSession Chairs: Toni Collis (
 Women in High Performance Computing); Weronika Filinger (Edinburgh Paralle
 l Computing Centre (EPCC); University of Edinburgh, Scotland); and Misbah 
 Mubarak (Amazon Web Services)\n\n
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