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.