SVDKSVD#
SVDKSVD = “ksvd” - A wrapper to the KSVD singular value solver [Sukkari et al., 2019].
Notes#
Only available for standard SVD problems.
This is a direct singular value solver, that is, the full decomposition
is computed. The computation involves redistributing the matrices from PETSc
storage to ScaLAPACK distribution, and vice versa (this is done automatically
by SLEPc). Alternatively, the user may create the problem matrices
already with type MATSCALAPACK.
The implemented method is supposed to be more scalable than the one
in SVDSCALAPACK.
References#
D. Sukkari, H. Ltaief, A. Esposito, and D. Keyes. A QDWH-based SVD software framework on distributed-memory manycore systems. ACM Trans. Math. Software, 2019. doi:10.1145/3309548.
See Also#
SVD: Singular Value Decomposition, SVD, SVDType, SVDSetType(), SVDSCALAPACK
Level#
beginner
Location#
src/svd/impls/external/ksvd/svdksvd.c
Index of all SVD routines Table of Contents for all manual pages Index of all manual pages