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Scalability of Classical Algebraic Multigrid for Elasticity to Half a Million Parallel Tasks.

, , , , , and . Software for Exascale Computing, volume 113 of Lecture Notes in Computational Science and Engineering, Springer, (2016)

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On Improving Linear Solver Performance: A Block Variant of GMRES., , and . SIAM J. Scientific Computing, 27 (5): 1608-1626 (2006)Multigrid Smoothers for Ultraparallel Computing., , , and . SIAM J. Scientific Computing, 33 (5): 2864-2887 (2011)Making root cause analysis feasible for large code bases: a solution approach for a climate model., , , , , and . CoRR, (2018)Evaluating image quality measures to assess the impact of lossy data compression applied to climate simulation data., , and . Comput. Graph. Forum, 38 (3): 517-528 (2019)Scaling Algebraic Multigrid Solvers: On the Road to Exascale., , , , , and . CHPC, page 215-226. Springer, (2010)Toward Memory-Efficient Linear Solvers., , and . VECPAR, volume 2565 of Lecture Notes in Computer Science, page 315-327. Springer, (2002)Challenges of Scaling Algebraic Multigrid Across Modern Multicore Architectures., , , and . IPDPS, page 275-286. IEEE, (2011)Towards Characterizing the Variability of Statistically Consistent Community Earth System Model Simulations., , , , , and . ICCS, volume 80 of Procedia Computer Science, page 1589-1600. Elsevier, (2016)An efficient parallel termination detection algorithm., , and . IJPEDS, 21 (4): 293-301 (2006)Improving algebraic multigrid interpolation operators for linear elasticity problems., , and . Numerical Lin. Alg. with Applic., 17 (2-3): 495-517 (2010)