Computing least squares condition numbers on hybrid multicore/GPU systems - Archive ouverte HAL Access content directly
Reports (Research Report) Year : 2014

Computing least squares condition numbers on hybrid multicore/GPU systems

(1, 2) , (3) , (4)
1
2
3
4

Abstract

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.
Fichier principal
Vignette du fichier
RR-8479.pdf (426.05 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-00947204 , version 1 (14-02-2014)
hal-00947204 , version 2 (28-02-2014)

Identifiers

  • HAL Id : hal-00947204 , version 2

Cite

Marc Baboulin, Jack Dongarra, Rémi Lacroix. Computing least squares condition numbers on hybrid multicore/GPU systems. [Research Report] RR-8479, INRIA. 2014. ⟨hal-00947204v2⟩
456 View
337 Download

Share

Gmail Facebook Twitter LinkedIn More