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Butterfly factorization via randomized matrix-vector multiplications., , , , , and . CoRR, (2020)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 multi-level preconditioned Krylov method for the efficient solution of algebraic tomographic reconstruction problems., , , , and . J. Comput. Appl. Math., (2015)High performance sparse multifrontal solvers on modern GPUs., and . Parallel Comput., (2022)Hiding global synchronization latency in the preconditioned Conjugate Gradient algorithm., and . Parallel Comput., 40 (7): 224-238 (2014)GPTuneBand: Multi-task and Multi-fidelity Autotuning for Large-scale High Performance Computing Applications., , , , and . PPSC, page 1-13. SIAM, (2022)Improving strong scaling of the Conjugate Gradient method for solving large linear systems using global reduction pipelining., , , and . CoRR, (2019)Construction of Hierarchically Semi-Separable matrix Representation using Adaptive Johnson-Lindenstrauss Sketching., , , and . CoRR, (2023)Highly scalable distributed-memory sparse triangular solution algorithms., , , and . CSC, page 87-96. SIAM, (2018)A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression., , , , and . IPDPS Workshops, page 883-892. IEEE Computer Society, (2018)