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low rank
Low Rank Everywhere (Almost)
David Keyes, Professor, Applied Mathematics and Computational Science
Sep 6, 12:00
-
13:00
B9 L2 R2322
computational science
low rank
hierarchical low rank
data sparsity
Tile low-rank and hierarchical low-rank matrices can exploit the data sparsity that is discoverable all across computational science. We illustrate in large-scale applications and hybridize with similarly motivated mixed precision representations while featuring ECRC research in progress with many collaborators.