Block Low-Rank Matrices with Shared Bases: Potential and Limitations of the BLR$^2$ Format-Reference-Cited by-同舟云学术

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Block Low-Rank Matrices with Shared Bases: Potential and Limitations of the BLR$^2$ Format

Published:2021-01 Issue:2 Volume:42 Page:990-1010
ISSN:0895-4798
Container-title:SIAM Journal on Matrix Analysis and Applications
language:en
Short-container-title:SIAM J. Matrix Anal. Appl.

Author:

Ashcraft Cleve,Buttari Alfredo^ORCID,Mary Theo

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Analysis

Link

https://epubs.siam.org/doi/pdf/10.1137/20M1386451

Reference23 articles.

1. Improving Multifrontal Methods by Means of Block Low-Rank Representations

2. Fast 3D frequency-domain full-waveform inversion with a parallel block low-rank multifrontal direct solver: Application to OBC data from the North Sea

3. On the Complexity of the Block Low-Rank Multifrontal Factorization

4. Bridging the Gap Between Flat and Hierarchical Low-Rank Matrix Formats: The Multilevel Block Low-Rank Format

5. Performance and Scalability of the Block Low-Rank Multifrontal Factorization on Multicore Architectures

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1. An inherently parallel ℋ²-ULV factorization for solving dense linear systems on GPUs;The International Journal of High Performance Computing Applications;2024-04-03

2. Computing the k-th Eigenvalue of Symmetric H2-Matrices;Proceedings of the 52nd International Conference on Parallel Processing;2023-08-07

3. O(N) distributed direct factorization of structured dense matrices using runtime systems.;Proceedings of the 52nd International Conference on Parallel Processing;2023-08-07

4. Scalable Linear Time Dense Direct Solver for 3-D Problems without Trailing Sub-Matrix Dependencies;SC22: International Conference for High Performance Computing, Networking, Storage and Analysis;2022-11

5. Solving Block Low-Rank Matrix Eigenvalue Problems;Journal of Information Processing;2022

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