  We introduce the simulation tool SABCEMM (Simulator for Agent-Based
Computational Economic Market Models) for agent-based computational economic
market (ABCEM) models. Our simulation tool is implemented in C++ and we can
easily run ABCEM models with several million agents. The object-oriented
software design enables the isolated implementation of building blocks for
ABCEM models, such as agent types and market mechanisms. The user can design
and compare ABCEM models in a unified environment by recombining existing
building blocks using the XML-based SABCEMM configuration file. We introduce an
abstract ABCEM model class which our simulation tool is built upon.
Furthermore, we present the software architecture as well as computational
aspects of SABCEMM. Here, we focus on the efficiency of SABCEMM with respect to
the run time of our simulations. We show the great impact of different random
number generators on the run time of ABCEM models. The code and documentation
is published on GitHub at https://github.com/SABCEMM/SABCEMM, such that all
results can be reproduced by the reader.
