University of Colorado at Denver and Health Sciences Center Preconditioned Eigensolver LOBPCG in hypre and PETSc
نویسندگان
چکیده
We present preliminary results of an ongoing project to develop codes of the Locally Optimal Block Preconditioned Conjugate Gradient (LOBPCG) method for symmetric eigenvalue problems for hypre and PETSc software packages. hypre and PETSc provide high quality domain decomposition and multigrid preconditioning for parallel computers. Our LOBPCG implementation for hypre is publicly available in hypre 1.8.2b and later releases. We describe the current state of the LOBPCG software for hypre and PETSc and demonstrate scalability results on distributed memory parallel clusters using domain decomposition and multigrid preconditioning.
منابع مشابه
Recent implementations, applications, and extensions of the Locally Optimal Block Preconditioned Conjugate Gradient method (LOBPCG)
Since introduction [A. Knyazev, Toward the optimal preconditioned eigensolver: Locally optimal block preconditioned conjugate gradient method, SISC (2001) doi:10.1137/S1064827500366124] and efficient parallel implementation [A. Knyazev et al., Block locally optimal preconditioned eigenvalue xolvers (BLOPEX) in HYPRE and PETSc, SISC (2007) doi:10.1137/060661624], LOBPCG has been used is a wide r...
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