An Approach to Parallelizing the Simulation of Complicated Modelica Models

parallel scheduling, efficient simulation models Designing embedded systems has become a complex and ex-pensive task, and simulation and other analysis tools are tak-ing on a bigger role in the overall design process. In an ef-fort to speed up the design process, we present an algorithm for reducing the simulation time of large, complex models by creating a parallel schedule from a flattened set of equations that collectively capture the system behavior. The developed approach is applied to a multi-core desktop processor to de-termine the estimated speedup in a set of subsystem models