Performance and scalability of the block low-rank multifrontal factorization on multicore architectures

PR Amestoy, A Buttari, JY L'excellent… - ACM Transactions on …, 2019 - dl.acm.org
Matrices coming from elliptic Partial Differential Equations have been shown to have a low-
rank property that can be efficiently exploited in multifrontal solvers to provide a substantial …

Fast multi-source nanophotonic simulations using augmented partial factorization

HC Lin, Z Wang, CW Hsu - Nature Computational Science, 2022 - nature.com
Numerical solutions of Maxwell's equations are indispensable for nanophotonics and
electromagnetics but are constrained when it comes to large systems, especially multi …

Mixed precision low-rank approximations and their application to block low-rank LU factorization

P Amestoy, O Boiteau, A Buttari… - IMA Journal of …, 2023 - academic.oup.com
We introduce a novel approach to exploit mixed precision arithmetic for low-rank
approximations. Our approach is based on the observation that singular vectors associated …

Combining sparse approximate factorizations with mixed-precision iterative refinement

P Amestoy, A Buttari, NJ Higham… - ACM Transactions on …, 2023 - dl.acm.org
The standard LU factorization-based solution process for linear systems can be enhanced in
speed or accuracy by employing mixed-precision iterative refinement. Most recent work has …

Parallel approximation of the maximum likelihood estimation for the prediction of large-scale geostatistics simulations

S Abdulah, H Ltaief, Y Sun, MG Genton… - … conference on cluster …, 2018 - ieeexplore.ieee.org
Maximum likelihood estimation is an important statistical technique for estimating missing
data, for example in climate and environmental applications, which are usually large and …

Sparse supernodal solver using block low-rank compression: Design, performance and analysis

G Pichon, E Darve, M Faverge, P Ramet… - Journal of computational …, 2018 - Elsevier
This paper presents two approaches using a Block Low-Rank (BLR) compression technique
to reduce the memory footprint and/or the time-to-solution of the sparse supernodal solver …

Bridging the gap between flat and hierarchical low-rank matrix formats: The multilevel block low-rank format

PR Amestoy, A Buttari, JY L'Excellent, TA Mary - SIAM Journal on Scientific …, 2019 - SIAM
Matrices possessing a low-rank property arise in numerous scientific applications. This
property can be exploited to provide a substantial reduction of the complexity of their LU or …

Is 3D frequency-domain FWI of full-azimuth/long-offset OBN data feasible? The Gorgon data FWI case study

S Operto, P Amestoy, H Aghamiry, S Beller… - The Leading …, 2023 - library.seg.org
Frequency-domain full-waveform inversion (FWI) is potentially amenable to efficient
processing of full-azimuth long-offset stationary-recording seabed acquisition carried out …

3D finite-difference and finite-element frequency-domain wave simulation with multilevel optimized additive Schwarz domain-decomposition preconditioner: A tool for …

PH Tournier, P Jolivet, V Dolean, HS Aghamiry… - Geophysics, 2022 - library.seg.org
Efficient frequency-domain full-waveform inversion (FWI) of long-offset node data can be
designed with a few discrete frequencies, which lead to modest data volumes to be …

Accurate 3D frequency-domain seismic wave modeling with the wavelength-adaptive 27-point finite-difference stencil: A tool for full-waveform inversion

HS Aghamiry, A Gholami, L Combe, S Operto - Geophysics, 2022 - library.seg.org
Efficient frequency-domain full-waveform inversion (FWI) of long-offset node data can be
performed with a few frequencies. The seismic response of these frequencies can be …