Performance and scalability of the block low-rank multifrontal factorization on multicore architectures
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 …
rank property that can be efficiently exploited in multifrontal solvers to provide a substantial …
Fast multi-source nanophotonic simulations using augmented partial factorization
Numerical solutions of Maxwell's equations are indispensable for nanophotonics and
electromagnetics but are constrained when it comes to large systems, especially multi …
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
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 …
approximations. Our approach is based on the observation that singular vectors associated …
Combining sparse approximate factorizations with mixed-precision iterative refinement
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 …
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
Maximum likelihood estimation is an important statistical technique for estimating missing
data, for example in climate and environmental applications, which are usually large and …
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
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 …
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
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 …
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
Frequency-domain full-waveform inversion (FWI) is potentially amenable to efficient
processing of full-azimuth long-offset stationary-recording seabed acquisition carried out …
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 …
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 …
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
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 …
performed with a few frequencies. The seismic response of these frequencies can be …