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An Efficient Multicore Implementation of a Novel HSS-Structured Multifrontal Solver Using Randomized Sampling.

Ghysels, Pieter et al.
eScholarship · Papers
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sciencesocial-scienceuniversity
We present a sparse linear system solver that is based on a multifrontal variant of Gaussian elimination and exploits low-rank approximation of the resulting dense frontal matrices. We use hierarchically semiseparable (HSS) matrices, which have low-rank off-diagonal blocks, to approximate the fronta
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