LAPACK Working Note 30: Reduction to Condensed Form for the Eigenvalue Problem on Distributed Memory Architectures
Jack J. Dongarra, Robert A. Geijn, April · 1991
In this paper, we describe a parallel implementation for the reduction of general and symmetric matrices to Hessenberg and tridiagonal form, respectively. The methods are based on LAPACK sequential codes and use a panel-wrapped, mapping of matrices to nodes. Results from experiments on the Intel Touchstone Delta are given.