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Dive into the research topics where Jacob B. Schroder is active.

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Featured researches published by Jacob B. Schroder.


SIAM Journal on Scientific Computing | 2014

Parallel Time Integration with Multigrid

Robert D. Falgout; Stephanie Friedhoff; Tzanio V. Kolev; Scott P. MacLachlan; Jacob B. Schroder

We consider optimal-scaling multigrid solvers for the linear systems that arise from the discretization of problems with evolutionary behavior. Typically, solution algorithms for evolution equations are based on a time-marching approach, solving sequentially for one time step after the other. Parallelism in these traditional time-integration techniques is limited to spatial parallelism. However, current trends in computer architectures are leading toward systems with more, but not faster, processors. Therefore, faster compute speeds must come from greater parallelism. One approach to achieving parallelism in time is with multigrid, but extending classical multigrid methods for elliptic operators to this setting is not straightforward. In this paper, we present a nonintrusive, optimal-scaling time-parallel method based on multigrid reduction (MGR). We demonstrate optimality of our multigrid-reduction-in-time algorithm (MGRIT) for solving diffusion equations in two and three space dimensions in numerical ex...


SIAM Journal on Scientific Computing | 2011

A General Interpolation Strategy for Algebraic Multigrid Using Energy Minimization

Luke N. Olson; Jacob B. Schroder; Raymond S. Tuminaro

Algebraic multigrid methods solve sparse linear systems


Numerical Linear Algebra With Applications | 2009

A new perspective on strength measures in algebraic multigrid

Luke N. Olson; Jacob B. Schroder; Raymond S. Tuminaro

Ax=b


Numerical Linear Algebra With Applications | 2010

Smoothed aggregation for Helmholtz problems

Luke N. Olson; Jacob B. Schroder

by automatic construction of a multilevel hierarchy. This hierarchy is defined by grid transfer operators that must accurately capture algebraically smooth error relative to the relaxation method. We propose a methodology to improve grid transfers through energy minimization. The proposed strategy is applicable to Hermitian, non-Hermitian, definite, and indefinite problems. Each column of the grid transfer operator


Journal of Computational Physics | 2011

Smoothed aggregation multigrid solvers for high-order discontinuous Galerkin methods for elliptic problems

Luke N. Olson; Jacob B. Schroder

P


Numerical Linear Algebra With Applications | 2012

Smoothed aggregation solvers for anisotropic diffusion

Jacob B. Schroder

is minimized in an energy-based norm while enforcing two types of constraints: a defined sparsity pattern and preservation of specified modes in the range of


SIAM Journal on Scientific Computing | 2014

Non-Galerkin Coarse Grids for Algebraic Multigrid

Robert D. Falgout; Jacob B. Schroder

P


SIAM Journal on Scientific Computing | 2017

Multigrid Reduction in Time for Nonlinear Parabolic Problems: A Case Study

Robert D. Falgout; Thomas A. Manteuffel; B. O'Neill; Jacob B. Schroder

. A Krylov-based strategy is used to minimize energy, which is equivalent to solving


SIAM Journal on Scientific Computing | 2017

A Root-Node--Based Algebraic Multigrid Method

Thomas A. Manteuffel; Luke N. Olson; Jacob B. Schroder; Ben S. Southworth

A P_j = \boldsymbol{0}


Computing and Visualization in Science | 2017

Multigrid methods with space–time concurrency

Robert D. Falgout; Stephanie Friedhoff; Tzanio V. Kolev; Scott P. MacLachlan; Jacob B. Schroder; Stefan Vandewalle

for each column

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Robert D. Falgout

Lawrence Livermore National Laboratory

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Raymond S. Tuminaro

Sandia National Laboratories

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Christopher Siefert

Sandia National Laboratories

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Tzanio V. Kolev

Lawrence Livermore National Laboratory

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Scott P. MacLachlan

Memorial University of Newfoundland

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Jeremie Gaidamour

Sandia National Laboratories

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Jonathan Joseph Hu

Sandia National Laboratories

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Stephanie Friedhoff

Katholieke Universiteit Leuven

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