作者:
Liu, LuluZhang, WeiKeyes, David E.USI
Inst Computat Sci CH-6900 Lugano Switzerland KAUST
Program Mech Engn Thuwal 239556900 Saudi Arabia KAUST
Program Appl Math & Computat Sci Thuwal 239556900 Saudi Arabia KAUST
Extreme Comp Res Ctr Thuwal 239556900 Saudi Arabia
A natural convection cavity flow problem is solved using nonlinear multiplicative Schwarz preconditioners, as a Gauss-Seidel-like variant of additive Schwarz preconditioned inexact Newton (ASPIN). The nonlinear precon...
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Recent advances in computationalscience and technologies induce increasing size of the engineering problems, and impact the fields of computational fluids and structural dynamics as well as multi-physics problems, su...
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We introduce two new nonlinear FETI-DP (Finite Element Tearing and Interconnecting-Dual-Primal) methods based on a partial nonlinear elimination of variables and provide a comparison to Newton-Krylov-FETI-DP, Nonlinea...
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The ESSEX project is an ongoing effort to provide exascale-enabled sparse eigensolvers, especially for quantum physics and related application areas. In this paper we first briefly summarize some key achievements that...
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ISBN:
(数字)9783319624266
ISBN:
(纸本)9783319624266;9783319624242
The ESSEX project is an ongoing effort to provide exascale-enabled sparse eigensolvers, especially for quantum physics and related application areas. In this paper we first briefly summarize some key achievements that have been made within this project. Then we focus on a projection-based eigensolver with polynomial approximation of the projector. This eigensolver can be used for computing hundreds of interior eigenvalues of large sparse matrices. We describe techniques that allow using lower-degree polynomials than possible with standard Chebyshev expansion of the window function and kernel smoothing. With these polynomials, the degree, and thus the number of matrix-vector multiplications, typically can be reduced by roughly one half, resulting in comparable savings in runtime.
We investigate a two-level additive Schwarz domain decomposition preconditioner for a flat-top partition of unity method. We establish condition number estimates for the biharmonic problem and present numerical result...
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ISBN:
(数字)9783319519548
ISBN:
(纸本)9783319519548;9783319519531
We investigate a two-level additive Schwarz domain decomposition preconditioner for a flat-top partition of unity method. We establish condition number estimates for the biharmonic problem and present numerical results that confirm our analysis.
A parallel fast direct solver for rank-compressible block tridiagonal linear systems is presented. Algorithmic synergies between Cyclic Reduction and Hierarchical matrix arithmetic operations result in a solver with a...
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Linear response eigenvalue problems arise from the calculation of excitation states of many-particle systems in computational materials science. In this paper, from the point of view of numerical linear algebra and ma...
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ISBN:
(数字)9783319624266
ISBN:
(纸本)9783319624266;9783319624242
Linear response eigenvalue problems arise from the calculation of excitation states of many-particle systems in computational materials science. In this paper, from the point of view of numerical linear algebra and matrix computations, we review the progress of linear response eigenvalue problems in theory and algorithms since 2012.
Recently, complex moment-based eigensolvers have been actively developed in highly parallel environments to solve large and sparse eigenvalue problems. In this paper, we provide an error resilience strategy of a Rayle...
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ISBN:
(数字)9783319624266
ISBN:
(纸本)9783319624266;9783319624242
Recently, complex moment-based eigensolvers have been actively developed in highly parallel environments to solve large and sparse eigenvalue problems. In this paper, we provide an error resilience strategy of a Rayleigh-Ritz type complex moment-based parallel eigensolver for solving generalized eigenvalue problems. Our strategy is based on an error bound of the eigensolver in the case that soft-errors like bit-flip occur. Using the error bound, we achieve an inherent error resilience of the eigensolver that does not require standard checkpointing and replication techniques in the most time-consuming part.
We simulate blood flow in patient-specific cerebral arteries. The complicated geometry in the human brain makes the problem challenging. We use a fully unstructured three dimensional mesh to cover the artery, and Gale...
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Parallel results obtained with a new implementation of an overlapping Schwarz method using an energy minimizing coarse space are presented. We consider structured and unstructured domain decompositions for scalar elli...
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