Abstract
The parallelization of numerical methods for the solution of initial value problems for large systems of differential algebraic equations (DAE’s) arising from the dynamic process simulation of chemical plants is considered. Due to a unit-oriented modeling the systems of DAE’s are structured into subsystems. By merging subsystems to blocks, block-structured Newton-type methods are used for their solution. These methods enable a coarse grained parallelization. Results from dynamic simulation runs for industrial distillation plants on parallel computers are given.
This work was supported by the Federal Ministry of Education, Science, Research and Technology, Germany under grants GA7FVB-3.0M370 and GR7FV1.
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© 1998 Springer-Verlag Berlin Heidelberg
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Borchardt, J. (1998). Parallelized block-structured Newton-type methods in dynamic process simulation. In: Kågström, B., Dongarra, J., Elmroth, E., Waśniewski, J. (eds) Applied Parallel Computing Large Scale Scientific and Industrial Problems. PARA 1998. Lecture Notes in Computer Science, vol 1541. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0095316
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DOI: https://doi.org/10.1007/BFb0095316
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