High-Performance Scientific Applications Using Mixed Precision and Low-Rank Approximation Powered by Task-based Runtime Systems

Συγγραφείς: Alomairy, Rabab M.

Thesis Advisors: Keyes, David E., Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division, Moshkov, Mikhail, Hadwiger, Markus, Ltaief, Hatem

Θεματικοί όροι: Mixed Precision, Low-Rank Approximation, Task-based Runtime Systems, Scientific Applications, Acoustic Scattering, Mesh Deformation, Genome-Wide Association Study, Dense Linear Algebra Algorithms, Abstraction Layer, LU/Cholesky-based Solver

Διαθεσιμότητα: http://hdl.handle.net/10754/679787