7 citations · 16 across the 3 of their papers we have counts for
3 papers
Improving strong scaling of the Conjugate Gradient method for solving large linear systems using global reduction pipelining
Siegfried Cools, Jeffrey Cornelis, Pieter Ghysels +1
This paper presents performance results comparing MPI-based implementations of the popular Conjugate Gradient (CG) method and several of its communication hiding (or 'pipelined') v…
A distributed-memory package for dense Hierarchically Semi-Separable matrix computations using randomization
François-Henry Rouet, Xiaoye S. Li, Pieter Ghysels +1
We present a distributed-memory library for computations with dense structured matrices. A matrix is considered structured if its off-diagonal blocks can be approximated by a rank-…
An efficient multi-core implementation of a novel HSS-structured multifrontal solver using randomized sampling
Pieter Ghysels, Xiaoye S. Li, Francois-Henry Rouet +2
We present a sparse linear system solver that is based on a multifrontal variant of Gaussian elimination, and exploits low-rank approximation of the resulting dense frontal matrice…