Abstract Suzumura - 12th Edition Artificial Economics Rome 20th-21st September 2016

12th Artificial Economics Conference
co-located with Social Simulation Conference


Paper submission: April 18th 2016

Acceptance notification: June 6th 2016

Early registration: July 15th 2016


20th-21st September 2016

Towards Billion-Scale Social Simulation

by Dr. Toyotaro Suzumura, IBM T.J. Watson Research Center


Many social simulations can be represented using mobile-agent-based model in which agents moving around on a given space such a evacuations, traffic flow and epidemics. Whole planet simulation with billions of agents at microscopic level helps mitigate the global crisis. It introduces new technical challenges such as processing and migrating many agents and load balancing among hundreds of machines. To overcome these challenges, well-designed software architecture of a simulator is essential. In this research, we proposed agent-basedcomplex cellular automata architecture (ABCCA) and studied the performance and scalability of two cell-based processing models,through simple traffic flow simulation on multi-core distributed system. The experiments show that the computation speedup can be achieved by reducing granularity of tasks and processing only active spaces. We achieved running the traffic flow simulation with one billion of agents in almost real time on 1,536 CPU cores of total 128 machines of TSUBAME supercomputer.