References in zbMATH (referenced in 32 articles )

1. Anderson, Robert; Andrej, Julian; Barker, Andrew; Bramwell, Jamie; Camier, Jean-Sylvain; Cerveny, Jakub; Dobrev, Veselin; Dudouit, Yohann; Fisher, Aaron; Kolev, Tzanio; Pazner, Will; Stowell, Mark; Tomov, Vladimir; Akkerman, Ido; Dahm, Johann; Medina, David; Zampini, Stefano: MFEM: a modular finite element methods library (2021)
2. Chen, Chao; Reiz, Severin; Yu, Chenhan D.; Bungartz, Hans-Joachim; Biros, George: Fast approximation of the Gauss-Newton Hessian matrix for the multilayer perceptron (2021)
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4. Zheng, Qingqing; Xi, Yuanzhe; Saad, Yousef: A power Schur complement low-rank correction preconditioner for general sparse linear systems (2021)
5. Beams, Natalie N.; Gillman, Adrianna; Hewett, Russell J.: A parallel shared-memory implementation of a high-order accurate solution technique for variable coefficient Helmholtz problems (2020)
6. Bin Zubair Syed, H.; Farquharson, C.; MacLachlan, S.: Block preconditioning techniques for geophysical electromagnetics (2020)
7. Cambier, Léopold; Chen, Chao; Boman, Erik G.; Rajamanickam, Sivasankaran; Tuminaro, Raymond S.; Darve, Eric: An algebraic sparsified nested dissection algorithm using low-rank approximations (2020)
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9. Kenneth L. Ho: FLAM: Fast Linear Algebra in MATLAB - Algorithms for Hierarchical Matrices (2020) not zbMATH
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11. Slavchev, Dimitar: On the impact of reordering in a hierarchical semi-separable compression solver for fractional diffusion problems (2020)
12. Alvermann, Andreas; Basermann, Achim; Bungartz, Hans-Joachim; Carbogno, Christian; Ernst, Dominik; Fehske, Holger; Futamura, Yasunori; Galgon, Martin; Hager, Georg; Huber, Sarah; Huckle, Thomas; Ida, Akihiro; Imakura, Akira; Kawai, Masatoshi; Köcher, Simone; Kreutzer, Moritz; Kus, Pavel; Lang, Bruno; Lederer, Hermann; Manin, Valeriy; Marek, Andreas; Nakajima, Kengo; Nemec, Lydia; Reuter, Karsten; Rippl, Michael; Röhrig-Zöllner, Melven; Sakurai, Tetsuya; Scheffler, Matthias; Scheurer, Christoph; Shahzad, Faisal; Simoes Brambila, Danilo; Thies, Jonas; Wellein, Gerhard: Benefits from using mixed precision computations in the ELPA-AEO and ESSEX-II eigensolver projects (2019)
13. Amestoy, Patrick R.; Buttari, Alfredo; L’Excellent, Jean-Yves; Mary, Theo A.: Bridging the gap between flat and hierarchical low-rank matrix formats: the multilevel block low-rank format (2019)
14. Boukaram, Wajih; Turkiyyah, George; Keyes, David: Randomized GPU algorithms for the construction of hierarchical matrices from matrix-vector operations (2019)
15. Dölz, Jürgen; Harbrecht, Helmut; Multerer, Michael D.: On the best approximation of the hierarchical matrix product (2019)
16. Gorman, Christopher; Chávez, Gustavo; Ghysels, Pieter; Mary, Théo; Rouet, François-Henry; Li, Xiaoye Sherry: Robust and accurate stopping criteria for adaptive randomized sampling in matrix-free hierarchically semiseparable construction (2019)
17. Sivaram Ambikasaran; Karan Raj Singh; Shyam Sundar Sankaran: HODLRlib: A Library for Hierarchical Matrices (2019) not zbMATH
18. Slavchev, Dimitar; Margenov, Svetozar: Analysis of hierarchical compression parallel solver for BEM problems on intel xeon cpus (2019)
19. Zaspel, Peter: Algorithmic patterns for (\mathcalH)-matrices on many-core processors (2019)
20. Chávez, Gustavo; Turkiyyah, George; Zampini, Stefano; Keyes, David: Parallel accelerated cyclic reduction preconditioner for three-dimensional elliptic PDEs with variable coefficients (2018)