A Performance Optimization Support Framework for Multi Agent Simulations on Multi-core Environment

On deploying a good agent simulation, it is important to be able to handle detailed behaviors of agents in a simulation as well as scaling up the simulation to cover important phenomenon that could be produced. There are strong demand to utilize multi-core computing resources effectively for such simulations. However, it is not easy task for developers to set the sufficient compilation and execution parameters and analyze their performance characteristics for various execution settings. In this paper, we propose a framework to assist coding agents on Multi Agent Simulations, as well as the parameter tuning process of multi-core programming for simulation developers to utilize many parallel cores in their simulation programs efficiently.