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Abstract: We study the parallelization of linearly--implicit extrapolation codes for the solution of large scale PDE systems and differential algebraic equations on distributed memory machines. The main advantage of these algorithms is that they enable adapativity both in time and space. Additive Krylov--Schwarz methods yield high parallel perfomance for such extrapolation methods. Our approach combines a slightly overlapping domain decomposition together with a polynomial block Neumann... (Update)
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BibTeX entry: (Update)
@inproceedings{ ehrig98massively,
author = "R. Ehrig and U. Nowak and P. Deuflhard",
title = "Massively Parallel Linearly-Implicit Extrapolation Algorithms as a Powerful Tool in Process Simulation",
booktitle = "Parallel Computing: Fundamentals, Applications and New Directions, Proceedings of the Conference ParCo'97, 19-22 September 1997, Bonn, Germany",
volume = "12",
publisher = "Elsevier, North-Holland",
address = "Amsterdam",
editor = "E. H. D'Hollander and G. R. Joubert and F. J. Peters and U. Trottenberg",
pages = "517--524",
year = "1998",
url = "citeseer.ist.psu.edu/559455.html" }
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