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Project Publications

Jacob edited this page Nov 8, 2019 · 17 revisions

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Peer-Reviewed Publications

  1. S. Guenther, R. D. Falgout, P. Top, C. S. Woodward, J. B. Schroder, Parallel-in-Time Solution of Power Systems with Unscheduled Events, 2019 Power and Energy Society General Meeting (PESGM), IEEE, (submitted), (2019).

  2. A. Hessenthaler, B. S. Southworth, D. Nordsletten, O. Rohrle, R. D. Falgout, and J. B. Schroder, Multilevel convergence analysis of multigrid-reduction-in-time, SIAM J. Sci. Comput, (submitted), (2019).

  3. S. Friedhoff, and B. S. Southworth, On "Optimal" h-Independent Convergence of Parareal and MGRIT using Runge-Kutta Time Integration, Numer. Linear Algebra Appl, (submitted), (2019).

  4. H. De Sterck, R. D. Falgout, S. Friedhoff, O. A. Krzysik, and S. P. MacLachlan, Optimizing MGRIT and Parareal Coarse-Grid Operators for Linear Advection, SIAM J. Sci. Comput, (submitted), (2019). LLNL-JRNL-789101.

  5. S. Gunther, L. Ruthotto, J. B. Schroder, E. C. Cyr, and N. R. Gauger, Layer-Parallel Training of Deep Residual Neural Network, SIAM J. Math Data Science. (accepted), (2019).

  6. B. S. Southworth, Necessary conditions and tight two-level convergence bounds for parareal and multigrid reduction in time, SIAM J. Matrix Anal., pp. 564-608. 40 (2019)..

  7. R. D. Falgout, M. Lecouvez, and C. S. Woodward, A Parallel-in-Time Algorithm for Variable Step Multistep Methods, Journal of Computational Science, 37 (2019), pp. 101-029. LLNL-JRNL-739759

  8. H. De Sterck, R. D. Falgout, A. J. M Howse, S. P. MacLachlan, and J. B. Schroder, Parallel-in-Time Multigrid with Adaptive Spatial Coarsening for the Linear Advection and Inviscid Burgers Equations, SIAM J. Sci. Comput, 41 (2019), pp. A538-A565. Supplementary Materials. LLNL-JRNL-737050.

  9. S. Gunther, N. R. Gauger, and J. B. Schroder, A Non-Intrusive Parallel-in-Time Approach for Simultaneous Optimization with Unsteady PDEs, Optimization Methods and Software, pp.1-16, (2018). LLNL-JRNL-744565.

  10. J. B. Schroder, M. Lecouvez, R. D. Falgout, C. S. Woodward, P. Top, Parallel-in-Time Solution of Power Systems with Scheduled Events, 2018 Power and Energy Society General Meeting (PESGM), IEEE, (2018). LLNL-CONF-740658.

  11. S. Gunther, N. R. Gauger, and J. B. Schroder, A Non-Intrusive Parallel-in-Time Adjoint Solver with the XBraid Library, Computing and Visualization in Science, Springer, (2018). LLNL-JRNL-730159.

  12. A. Hessenthaler, D. Nordsletten, O. Roehrle, J. B. Schroder, R. D. Falgout, Convergence of the Multigrid-Reduction-in-Time Algorithm for the Linear Elasticity Equations, Numer. Linear Algebra Appl., pp. 1-18. 25 (2017). LLNL-JRNL-731168.

  13. A. J. M. Howse (in collaboration with H. De Sterck, R. D. Falgout, S. P. Machlachlan, and J. B. Schroder), Multigrid Reduction in Time with Adaptive Spatial Coarsening for the Linear Advection Equation, Student Paper Winner, 18th Copper Mountain Conference on Multigrid Methods, Copper Mountain, Colorado. March, 2017. LLNL-PROC-716758

  14. R. D. Falgout, T. A. Manteuffel, B. O’Neill, and J. B. Schroder, Multigrid reduction in time for nonlinear parabolic problems: A Case Study, SIAM J. Sci. Comput., 39 (2017), pp 298-322. LLNL-JRNL-692258.

  15. V. Dobrev, Tz. Kolev, N. A. Petersson, and J. B. Schroder, Two-level convergence theory for Multigrid Reduction in Time (MGRIT), SIAM J. Sci. Comput., 39 (2017), pp. 501-527. LLNL-JRNL-692418.

  16. R.D. Falgout, S. Friedhoff, Tz.V. Kolev, S.P. MacLachlan, J.B. Schroder and S. Vandewalle, Multigrid Methods with Space-Time Concurrency, Computing and Visualization in Science, Springer, (2017). LLNL-JRNL-678572.

  17. H. Gahvari, V. A. Dobrev, R. D. Falgout, Tz. V. Kolev, J. B. Schroder, M. Schulz and U. M. Yang, A Performance Model for Allocating the Parallelism in a Multigrid-in-Time Solver, The 7th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS16), Supercomputing 16. LLNL-CONF-701995.

  18. M. Lecouvez, R. D. Falgout, C. S. Woodward, and P. Top, A parallel multigrid reduction in time method for power systems, in Power and Energy Society General Meeting (PESGM), 2016, IEEE, 2016, pp. 1–5. LNL-CONF-679148

  19. R. D. Falgout, S. Friedhoff, Tz. V. Kolev, S. P. MacLachlan, and J. B. Schroder, Parallel Time Integration with Multigrid, SIAM J. Sci. Comput., 36 (2014), pp.C635-C661. LLNL-JRNL-645325.

  20. S. Friedhoff, R. Falgout, T. Kolev, S. MacLachlan, and J. Schroder, A Multigrid-in-Time Algorithm for Solving Evolution Equations in Parallel, Student paper winner, Sixteenth Copper Mountain Conference on Multigrid Methods, Copper Mountain, Colorado. March, 2013. LLNL-CONF-606952.

Technical Reports

  1. J.B Schroder, On the Use of Artificial Dissipation for Hyperbolic Problems and Multigrid Reduction in Time (MGRIT), 2018, Technical Report, LLNL-TR-750825.

  2. J. B. Schroder, Parallelizing Over Artificial Neural Network Training Runs with Multigrid, arXiv preprint arXiv:1708.02276, (2017). LLNL-JRNL-736173.

  3. R.D. Falgout, T.A. Manteuffel, J.B. Schroder, B. Southworth, Parallel-in-time for moving meshes, Technical Report, 2016, LLNL-TR-681918.

  4. R. D. Falgout, A. Katz, Tz. V. Kolev, J. B. Schroder, A. Wissink, U. M. Yang, Parallel Time Integration with Multigrid Reduction for a Compressible Fluid Dynamics Application, Technical Report, 2014, LLNL-JRNL-663416.

Tutotrials

  1. J. Schroder and R. Falgout, XBraid Tutorial, 18th Copper Mountain Conference on Multigrid Methods, March, 2017, Copper Mountain, Colorado.

  2. J. Schroder and R. Falgout, XBraid Tutorial, 6th Conference on Parallel-in-Time Integration, October, 2017, Ascona, Switzerland.

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