Sugarscape on Steroids: Simulating over a Million Agents at Interactive Rates

نویسندگان

  • R. M. D ’ SOUZA
  • M. LYSENKO
چکیده

In this paper we present a new technique for simulating mega-scale Agent-Based Models (agent population sizes exceeding one million) at interactive rates. We achieve this performance by leveraging the computing power of Graphics Processing Units (GPUs). To test our system, we implemented SugarScape, a simple model with many common ABM features. We are able to achieve over 50 updates per second with agent populations exceeding 2 million on an environment with a resolution of 2560x1024 with visualization.

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تاریخ انتشار 2007