Principles of Object-Oriented Modeling and Simulation with Modelica 2.1
Principles of Object-Oriented Modeling and Simulation with Modelica 2.1
Continuous System Simulation
Optimizing locality and scalability of embedded Runge--Kutta solvers using block-based pipelining
Journal of Parallel and Distributed Computing
BlockLib: a skeleton library for cell broadband engine
Proceedings of the 1st international workshop on Multicore software engineering
NestStepModelica: mathematical modeling and bulk-synchronous parallel simulation
PARA'06 Proceedings of the 8th international conference on Applied parallel computing: state of the art in scientific computing
Automatic parallelization of simulink applications
Proceedings of the 8th annual IEEE/ACM international symposium on Code generation and optimization
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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.