@InCollection{Supelec618,
author = {Thomas Jost and and Stephane Vialle},
title = {{ An efficient multi-algorithms sparse linear solver for GPUs}},
year = {2010},
booktitle = {{Parallel Computing: From Multicores and GPU's to Petascale}},
publisher = {IOS Press},
volume = {19},
pages = {546-553},
annote = {Extended version of EuroGPU symposium article, in the International Conference on Parallel Computing (Parco) 2009},
editor = {B. Chapman and F. Desprez and G.R. Joubert and A. Lichnewsky and F. Peters and T. Priol},
series = {Advances in Parallel Computing},
url = {http://www.booksonline.iospress.nl/Content/BookSeriesBook.aspx\'epiid=16532},
isbn = {978-1-60750-529-7},
doi = {10.3233/978-1-60750-530-3-546},
abstract = {We present a new sparse linear solver for GPUs. It is designed to work with structured sparse matrices where all the non-zeros are on a few diagonals. Several iterative algorithms are implemented, both on CPU and GPU. The GPU code is designed to be fast yet simple to read and understand. It aims to be as accurate as possible, even on chips that do not support double-precision floating-point arithmetic. Several benchmarks show that GPU algorithms are much faster than their CPU counterpart while their accuracy is satisfying. }
}