Speaker
James Nagy
(Emory University)
Description
In recent years a substantial amount of work has been done on developing mixed-precision algorithms for linear systems, methods that can exploit capabilities of modern GPU architectures. However, very little work has been done for ill-conditioned problems that arise from large-scale inverse problems. Special considerations, which normally do not arise when solving well-conditioned problems, such as incorporating regularization into the developed methods, need to be considered. In this talk we consider the use of low-precision, regularized preconditioners in Krylov subspace methods.
Authors
Dr
Ariana Brown
(Emory University)
Chelsea Drum
(Emory University)
Co-authors
James Nagy
(Emory University)
Lucas Onisk
(Emory University)