26 citations · 68 across the 24 of their papers we have counts for
7 papers · 1 filter
ShyLU node: On-node Scalable Solvers and Preconditioners Recent Progresses and Current Performance
Ichitaro Yamazaki, Nathan Ellingwood, Sivasankaran Rajamanickam
ShyLU-node is an open-source software package that implements linear solvers and preconditioners on shared-memory multicore CPUs or on a GPU. It is part of the Trilinos software fr…
An Experimental Study of Two-Level Schwarz Domain Decomposition Preconditioners on GPUs
Ichitaro Yamazaki, Alexander Heinlein, Sivasankaran Rajamanickam
The generalized Dryja--Smith--Widlund (GDSW) preconditioner is a two-level overlapping Schwarz domain decomposition (DD) preconditioner that couples a classical one-level overlappi…
Experimental Evaluation of Multiprecision Strategies for GMRES on GPUs
Jennifer A. Loe, Christian A. Glusa, Ichitaro Yamazaki +2
Support for lower precision computation is becoming more common in accelerator hardware due to lower power usage, reduced data movement and increased computational performance. How…
Two-Stage Gauss--Seidel Preconditioners and Smoothers for Krylov Solvers on a GPU cluster
Luc Berger-Vergiat, Brian Kelley, Sivasankaran Rajamanickam +5
Gauss-Seidel (GS) relaxation is often employed as a preconditioner for a Krylov solver or as a smoother for Algebraic Multigrid (AMG). However, the requisite sparse triangular solv…
An Algebraic Sparsified Nested Dissection Algorithm Using Low-Rank Approximations
Léopold Cambier, Chao Chen, Erik G Boman +3
We propose a new algorithm for the fast solution of large, sparse, symmetric positive-definite linear systems, spaND -- sparsified Nested Dissection. It is based on nested dissecti…
Asynchronous One-Level and Two-Level Domain Decomposition Solvers
Christian Glusa, Paritosh Ramanan, Erik G. Boman +2
Parallel implementations of linear iterative solvers generally alternate between phases of data exchange and phases of local computation. Increasingly large problem sizes on more h…