Scalable Preconditioning is a preconditioning technique in parallel numerical linear algebra designed to maintain computational efficiency and convergence performance as the problem size and number of processors increase simultaneously.
213
Publications
14.7K
Citations
506
Authors
254
Institutions
Publications per year
2017–2026
42
Publications
213
1–5 of 213
Authors
506
- LF
5
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- CV
5
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4
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1–5 of 506
Institutions
254
Sandia National Laboratories California
Livermore, United States
9 h-index
18 publications
622 citations
Lawrence Livermore National Laboratory
Livermore, United States
7 h-index
14 publications
694 citations
Delft University of Technology
Delft, The Netherlands
6 h-index
17 publications
974 citations
ETH Zurich
Zurich, Switzerland
5 h-index
10 publications
1.1K citations
Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique
Toulouse, France
5 h-index
9 publications
518 citations
University of Milan
Milan, Italy
4 h-index
12 publications
1.1K citations
Stanford University
Stanford, United States
4 h-index
7 publications
445 citations
Laboratoire Jacques-Louis Lions
Paris, France
4 h-index
6 publications
338 citations
1–8 of 254
Venues
- SIAM Journal on Scientific Computing
25 publications · 1.2K citations
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- Journal of Computational Physics
15 publications · 1.1K citations
15
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- International Journal for Numerical Methods in Engineering
11 publications · 626 citations
11
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- Numerical Linear Algebra with Applications
9 publications · 354 citations
9
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- Journal of Computational and Applied Mathematics
7 publications · 286 citations
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