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Task-based FMM for heterogeneous architectures.

, , , , , and . Concurrency and Computation: Practice and Experience, 28 (9): 2608-2629 (2016)

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Task-Based Programming for Seismic Imaging: Preliminary Results., , , and . HPCC/CSS/ICESS, page 1259-1266. IEEE, (2014)Are Static Schedules so Bad? A Case Study on Cholesky Factorization., , , and . IPDPS, page 1021-1030. IEEE Computer Society, (2016)Fast and Accurate Simulation of Multithreaded Sparse Linear Algebra Solvers., , , , , , and . ICPADS, page 481-490. IEEE Computer Society, (2015)Task-based FMM for heterogeneous architectures., , , , , and . Concurrency and Computation: Practice and Experience, 28 (9): 2608-2629 (2016)Pipelining the Fast Multipole Method over a Runtime System, , , , , and . CoRR, (2012)Analyzing the Effect of Local Rounding Error Propagation on the Maximal Attainable Accuracy of the Pipelined Conjugate Gradient Method., , , , and . SIAM J. Matrix Analysis Applications, 39 (1): 426-450 (2018)On the I/O Volume in Out-of-Core Multifrontal Methods with a Flexible Allocation Scheme., , and . VECPAR, volume 5336 of Lecture Notes in Computer Science, page 328-335. Springer, (2008)Hard Faults and Soft-Errors: Possible Numerical Remedies in Linear Algebra Solvers., , , , , , , and . VECPAR, volume 10150 of Lecture Notes in Computer Science, page 11-18. Springer, (2016)Resiliency in numerical algorithm design for extreme scale simulations, , , , , , , , , and 26 other author(s). The international journal of high performance computing applications, 36 (2): 251-285 (2022)QR factorization of tall and skinny matrices in a grid computing environment., , , , and . IPDPS, page 1-11. IEEE, (2010)