@article{Luszczek2014LookingBA,
title={Looking back at dense linear algebra software},
author={Piotr Luszczek and Jakub Kurzak and Jack J. Dongarra},
journal={J. Parallel Distrib. Comput.},
year={2014},
volume={74},
pages={2548-2560}
}

Over the years, computational physics and chemistry served as an ongoing source of problems that demanded the ever increasing performance from hardware as well as the software that ran on top of it. Most of these problems could be translated into solutions for systems of linear equations: the very topic of numerical linear algebra. Seemingly then, a set of efficient linear solvers could be solving important scientific problems for years to come. We argue that dramatic changes in hardware… CONTINUE READING