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Randomized GPU Algorithms for the Construction of Hierarchical Matrices from Matrix-Vector Operations
Work
Year: 2019
Type: article
Abstract: Randomized algorithms for the generation of low rank approximations of large dense matrices have become popular methods in scientific computing and machine learning. In this paper, we extend the scope... more
Source: SIAM Journal on Scientific Computing
Authors Wajih Boukaram, George Turkiyyah, David E. Keyes
Institutions King Abdullah University of Science and Technology, American University of Beirut
Cites: 22
Cited by: 12
Related to: 10
FWCI: 1.267
Citation percentile (by year/subfield): 83.38
Topic: Stochastic Gradient Optimization Techniques
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funders King Abdullah University of Science and Technology, Qatar National Research Fund
Grant IDS OSR-2018-CARF-3666, NPRP-5-995-2-415