Automatic parallelization of simulation code for equation-based models with software pipelining and measurements on three platforms

Abstract

In this work we report results from a new integrated method of automatically generating parallel code from Modelica models by combining parallelization at two levels of abstraction. Performing inline expansion of a Runge-Kutta solver combined with fine-grained automatic parallelization of the right-hand side of the resulting equation system opens up new possibilities for generating high performance code, which is becoming increasingly relevant when multi-core computers are becoming commonplace. An implementation, in the form of a backend module for the OpenModelica compiler, has been developed and used for measurements on two architectures: Intel Xeon and SGI Altix 3700 Bx2. This paper also contains some very recent results of a prototype implementation of this parallelization approach on the Cell BE processor architecture.