| Parallel time integration with multigrid RD Falgout, S Friedhoff, TV Kolev, SP MacLachlan, JB Schroder SIAM Journal on Scientific Computing 36 (6), C635-C661, 2014 | 366 | 2014 |
| Multigrid methods with space–time concurrency RD Falgout, S Friedhoff, TV Kolev, SP MacLachlan, JB Schroder, ... Computing and Visualization in Science 18, 123-143, 2017 | 67 | 2017 |
| A multigrid-in-time algorithm for solving evolution equations in parallel S Friedhoff, RD Falgout, TV Kolev, S MacLachlan, JB Schroder Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2012 | 54 | 2012 |
| A generalized predictive analysis tool for multigrid methods S Friedhoff, S MacLachlan Numerical Linear Algebra with Applications 22 (4), 618-647, 2015 | 45 | 2015 |
| Optimizing multigrid reduction‐in‐time and Parareal coarse‐grid operators for linear advection H De Sterck, RD Falgout, S Friedhoff, OA Krzysik, SP MacLachlan Numerical Linear Algebra with Applications 28 (4), e2367, 2021 | 44 | 2021 |
| Convergence analysis for parallel‐in‐time solution of hyperbolic systems H De Sterck, S Friedhoff, AJM Howse, SP MacLachlan Numerical Linear Algebra with Applications 27 (1), e2271, 2020 | 35 | 2020 |
| Local Fourier analysis of space-time relaxation and multigrid schemes S Friedhoff, S MacLachlan, C Börgers SIAM Journal on Scientific Computing 35 (5), S250-S276, 2013 | 20 | 2013 |
| Exploring parallel-in-time approaches for eddy current problems S Friedhoff, J Hahne, I Kulchytska-Ruchka, S Schöps Progress in Industrial Mathematics at ECMI 2018, 373-379, 2019 | 17 | 2019 |
| Algebraic multigrid methods for Laplacians of graphs M Bolten, S Friedhoff, A Frommer, M Heming, K Kahl Linear Algebra and its Applications 434 (11), 2225-2243, 2011 | 17 | 2011 |
| On “Optimal” h‐independent convergence of Parareal and multigrid‐reduction‐in‐time using Runge‐Kutta time integration S Friedhoff, BS Southworth Numerical Linear Algebra with Applications 28 (3), e2301, 2021 | 16 | 2021 |
| Parallel-in-time simulation of an electrical machine using MGRIT M Bolten, S Friedhoff, J Hahne, S Schöps Computing and Visualization in Science 23, 1-14, 2020 | 12 | 2020 |
| On selecting coarse-grid operators for Parareal and MGRIT applied to linear advection OA Krzysik, H De Sterck, SP MacLachlan, S Friedhoff arXiv preprint arXiv:1902.07757, 2019 | 10 | 2019 |
| Algorithm 1016: PyMGRIT: A Python Package for the Parallel-in-time Method MGRIT J Hahne, S Friedhoff, M Bolten ACM Transactions on Mathematical Software (TOMS) 47 (2), 1-22, 2021 | 9 | 2021 |
| Multigrid‐reduction‐in‐time for Eddy Current problems S Friedhoff, J Hahne, S Schöps PAMM 19 (1), e201900262, 2019 | 8 | 2019 |
| Asynchronous Truncated Multigrid-Reduction-in-Time J Hahne, BS Southworth, S Friedhoff SIAM Journal on Scientific Computing 45 (3), S281-S306, 2022 | 3 | 2022 |
| Multigrid Reduction‐In‐Time Convergence for Advection Problems: A Fourier Analysis Perspective H De Sterck, S Friedhoff, OA Krzysik, SP MacLachlan Numerical Linear Algebra with Applications, e2593, 2022 | 3 | 2022 |
| PyMGRIT: A Python Package for the parallel-in-time method MGRIT J Hahne, S Friedhoff, M Bolten arXiv preprint arXiv:2008.05172, 2020 | 3 | 2020 |
| On" Optimal" h-Independent Convergence of Parareal and MGRIT using Runge-Kutta Time Integration S Friedhoff, BS Southworth arXiv preprint arXiv:1906.06672, 2019 | 3 | 2019 |
| 3D Fluid‐Structure Interaction Experiment and Benchmark Results A Hessenthaler, S Friedhoff, O Röhrle, DA Nordsletten PAMM 16 (1), 451-452, 2016 | 3 | 2016 |
| Design and analysis of multigrid methods for parabolic problems S Friedhoff TUFTS UNIVERSITY, 2014 | 2 | 2014 |
