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An efficient multi-core implementation of a novel HSS-structured multifrontal solver using randomized sampling.

, , , , and . CoRR, (2015)

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Using Fast and Accurate Simulation to Explore Hardware/Software Trade-offs in the Multi-Core Era., , , , , and . PARCO, volume 22 of Advances in Parallel Computing, page 343-350. IOS Press, (2011)Hiding Global Communication Latency in the GMRES Algorithm on Massively Parallel Machines., , , and . SIAM J. Scientific Computing, (2013)A multi-level preconditioned Krylov method for the efficient solution of algebraic tomographic reconstruction problems., , , , and . J. Computational Applied Mathematics, (2015)The Impact of Global Communication Latency at Extreme Scales on Krylov Methods., , , and . ICA3PP (1), volume 7439 of Lecture Notes in Computer Science, page 428-442. Springer, (2012)A Robust Parallel Preconditioner for Indefinite Systems Using Hierarchical Matrices and Randomized Sampling., , , and . IPDPS, page 897-906. IEEE Computer Society, (2017)Hiding global synchronization latency in the preconditioned Conjugate Gradient algorithm., and . Parallel Computing, 40 (7): 224-238 (2014)A distributed-memory package for dense Hierarchically Semi-Separable matrix computations using randomization., , , and . CoRR, (2015)Robust and Accurate Stopping Criteria for Adaptive Randomized Sampling in Matrix-Free Hierarchically Semiseparable Construction., , , , , and . SIAM J. Scientific Computing, 41 (5): S61-S85 (2019)Improving strong scaling of the Conjugate Gradient method for solving large linear systems using global reduction pipelining., , , and . CoRR, (2019)An Efficient Multicore Implementation of a Novel HSS-Structured Multifrontal Solver Using Randomized Sampling., , , , and . SIAM J. Scientific Computing, (2016)