@inproceedings{ebf1abab5198484f9f27b10219550dc7,
title = "Computing least squares condition numbers on hybrid multicore/GPU systems",
abstract = "This chapter presents an efficient computation for least squares conditioning or estimates of it. We propose performance results using new routines on top of the multicore-GPU library MAGMA. This set of routines is based on an efficient computation of the variance–covariance matrix for which, to our knowledge, there is no implementation in current public domain libraries LAPACK and ScaLAPACK.",
author = "M. Baboulin and J. Dongarra and R. Lacroix",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; International Conference on Applied Mathematics, Modelling and Computational Science, AMMCS 2013 ; Conference date: 26-08-2013 Through 30-08-2013",
year = "2015",
doi = "10.1007/978-3-319-12307-3_6",
language = "English",
isbn = "9783319123066",
series = "Springer Proceedings in Mathematics and Statistics",
publisher = "Springer New York LLC",
pages = "35--41",
editor = "Makarov, {Roman N.} and Melnik, {Roderick V. N.} and Kotsireas, {Ilias S.} and Hasan Shodiev and Cojocaru, {Monica G.} and Cojocaru, {Monica G.} and Makarov, {Roman N.} and Melnik, {Roderick V. N.} and Kotsireas, {Ilias S.} and Hasan Shodiev",
booktitle = "Interdisciplinary Topics in Applied Mathematics, Modeling and Computational Science",
}