The solution of nonsymmetric eigenvalue problems, Ax = λx, can be accelerated substantially by first reducing A to an upper Hessenberg matrix H that has the same eigenvalues as A. This can be done using Householder orthogonal transformations, which is a well established standard, or stabilized elementary transformations. The latter approach, although having… (More)

@inproceedings{Kabir2015PerformanceAA,
title={Performance analysis and design of a hessenberg reduction using stabilized blocked elementary transformations for new architectures},
author={Khairul Kabir and Azzam Haidar and Stanimire Tomov and Jack J. Dongarra},
booktitle={SpringSim},
year={2015}
}