S. Hirschmann. Informatik 2014, Big Data - Komplexität meistern, volume 232 of LNI, page 2425--2436. Bonn, Gesellschaft für Informatik e.V., (September 2014)
%0 Conference Paper
%1 INPROC-2014-96
%A Hirschmann, Steffen
%B Informatik 2014, Big Data - Komplexität meistern
%C Bonn
%D 2014
%E Plödereder, E.
%E Grunske, L.
%E Schneider, E.
%E Ull, D.
%I Gesellschaft für Informatik e.V.
%K CUDA GPGPU regression sparse_grids
%P 2425--2436
%T GPU-Based Regression Analysis on Sparse Grids
%U http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2014-96&engl=
%V 232
@inproceedings{INPROC-2014-96,
added-at = {2020-04-28T10:45:18.000+0200},
address = {Bonn},
author = {Hirschmann, Steffen},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2ddf82d7e6329537f080ad5ba680ee713/hirschsn},
booktitle = {Informatik 2014, Big Data - Komplexit{\"a}t meistern},
cr-category = {G.1.3 Numerical Linear Algebra},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Simulation gro{\ss}er Systeme},
editor = {Pl{\"o}dereder, E. and Grunske, L. and Schneider, E. and Ull, D.},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
interhash = {c028fb727ac132ff77090429aad76e68},
intrahash = {ddf82d7e6329537f080ad5ba680ee713},
keywords = {CUDA GPGPU regression sparse_grids},
language = {Englisch},
month = {September},
pages = {2425--2436},
publisher = {Gesellschaft f{\"u}r Informatik e.V.},
series = {LNI},
timestamp = {2020-04-28T08:45:18.000+0200},
title = {{GPU-Based Regression Analysis on Sparse Grids}},
type = {Konferenz-Beitrag},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2014-96&engl=},
volume = 232,
year = 2014
}