%0 Conference Paper %B International Interdisciplinary Conference on Applied Mathematics, Modeling and Computational Science (AMMCS) %D 2014 %T Computing Least Squares Condition Numbers on Hybrid Multicore/GPU Systems %A Marc Baboulin %A Jack Dongarra %A Remi Lacroix %X This paper 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. %B International Interdisciplinary Conference on Applied Mathematics, Modeling and Computational Science (AMMCS) %C Waterloo, Ontario, CA %8 2014-08 %G eng