@inproceedings{615f0a8bd0f44166b0cd07140877df41,
title = "Applying parallel direct solver techniques to build robust high performance preconditioners",
abstract = "The purpose of our work is to provide a method which exploits the parallel blockwise algorithmic approach used in the framework of high performance sparse direct solvers in order to develop robust preconditioned based on a parallel incomplete factorization. The idea is then to define an adaptive blockwise incomplete factorization that is much more accurate (and numerically mure robust) than the scalar incomplete factorizations commonly used to precondition iterative solvers.",
author = "Pascal H{\'e}non and Fran{\c c}ois Pellegrini and Pierre Ramet and Jean Roman and Yousef Saad",
note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 7th International Conference on Applied Parallel Computing, PARA 2004 ; Conference date: 20-06-2004 Through 23-06-2004",
year = "2006",
doi = "10.1007/11558958_73",
language = "English (US)",
isbn = "3540290672",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "611--619",
booktitle = "Applied Parallel Computing - State of the Art in Scientific Computing - 7th International Conference, PARA 2004, Revised Selected Papers",
}