U
Ulrike Meier Yang
Researcher at Lawrence Livermore National Laboratory
Publications - 56
Citations - 3953
Ulrike Meier Yang is an academic researcher from Lawrence Livermore National Laboratory. The author has contributed to research in topics: Multigrid method & Massively parallel. The author has an hindex of 24, co-authored 54 publications receiving 3471 citations. Previous affiliations of Ulrike Meier Yang include University of Illinois at Urbana–Champaign & Sandia National Laboratories.
Papers
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Book ChapterDOI
hypre: A Library of High Performance Preconditioners
TL;DR: An overview of the preconditioners that are available in hypre is given, including some numerical results that show the efficiency of the library.
Journal ArticleDOI
BoomerAMG: a parallel algebraic multigrid solver and preconditioner
TL;DR: This paper describes an implementation of a parallel AMG code, using the algorithm of A.J. Cleary, and considers three basic coarsening schemes and certain modifications to the basic schemes, designed to address specific performance issues.
Book ChapterDOI
The Design and Implementation of hypre, a Library of Parallel High Performance Preconditioners
TL;DR: This chapter discusses the design of the conceptual interfaces in hypre and illustrates their use with various examples, and discusses the data structures and parallel implementation of these interfaces.
Journal ArticleDOI
Reducing Complexity in Parallel Algebraic Multigrid Preconditioners
TL;DR: Two new parallel AMG coarsening schemes are proposed, that are based on solely enforcing a maximum independent set property, resulting in sparser coarse grids and the performance of the new preconditioners is examined.
Journal ArticleDOI
Multigrid Smoothers for Ultraparallel Computing
TL;DR: It is shown, in particular, that the popular hybrid GS algorithm has multigrid smoothing properties which are independent of the number of processors in many practical applications, provided that the problem size per processor is large enough.