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Neil Lindquist
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2020 – today
- 2023
- [c5]Neil Lindquist
, Piotr Luszczek
Using Additive Modifications in LU Factorization Instead of Pivoting. ICS 2023: 14-24 - [i4]Neil Lindquist, Piotr Luszczek, Jack J. Dongarra:
Generalizing Random Butterfly Transforms to Arbitrary Matrix Sizes. CoRR abs/2312.09376 (2023) - 2022
- [j2]Neil Lindquist
Accelerating Restarted GMRES With Mixed Precision Arithmetic. IEEE Trans. Parallel Distributed Syst. 33(4): 1027-1037 (2022) - [c4]Neil Lindquist
Threshold Pivoting for Dense LU Factorization. ScalAH@SC 2022: 34-42 - [d3]Neil Lindquist
Software for "Threshold Pivoting for dense LU Factorization". Version 2. Zenodo, 2022 [all versions] - [d2]Neil Lindquist
Software for "Threshold Pivoting in LU Factorizations". Version 1. Zenodo, 2022 [all versions] - 2020
- [c3]Piotr Luszczek, Yaohung M. Tsai, Neil Lindquist
Scalable Data Generation for Evaluating Mixed-Precision Solvers. HPEC 2020: 1-6 - [c2]Neil Lindquist
Replacing Pivoting in Distributed Gaussian Elimination with Randomized Techniques. ScalA@SC 2020: 35-43 - [c1]Neil Lindquist
Improving the Performance of the GMRES Method Using Mixed-Precision Techniques. SMC 2020: 51-66 - [d1]Neil Lindquist
Software for Linear Algebra Targeting Exascale (SLATE) with a Recursive Butterfly Transform based solver. Zenodo, 2020 - [i3]Ahmad Abdelfattah, Hartwig Anzt, Erik G. Boman, Erin C. Carson, Terry Cojean
A Survey of Numerical Methods Utilizing Mixed Precision Arithmetic. CoRR abs/2007.06674 (2020) - [i2]Neil Lindquist, Piotr Luszczek, Jack J. Dongarra:
Improving the Performance of the GMRES Method using Mixed-Precision Techniques. CoRR abs/2011.01850 (2020)
2010 – 2019
- 2019
- [j1]Neil Lindquist
Replicated Computational Results (RCR) Report for "Code Generation for Generally Mapped Finite Elements". ACM Trans. Math. Softw. 45(4): 42:1-42:7 (2019) - [i1]Neil Lindquist:
Replicated Computational Results (RCR) Report for "Code Generation for Generally Mapped Finite Elements". CoRR abs/1912.00488 (2019)
Coauthor Index
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