TY - CHAP
T1 - Prospectus for a dense linear algebra software library
AU - Demmel, James
AU - Parlett, Beresford
AU - Kahan, William
AU - Gu, Ming
AU - Bindel, David
AU - Hida, Yozo
AU - Riedy, E. Jason
AU - Voemel, Christof
AU - Dongarra, Jack
AU - Kurzak, Jakub
AU - Buttari, Alfredo
AU - Langou, Julie
AU - Tomov, Stanimire
AU - Li, Xiaoye
AU - Marques, Osni
AU - Langou, Julien
AU - Luszczek, Piotr
N1 - Publisher Copyright:
© 2007 by Taylor & Francis Group, LLC.
PY - 2007/1/1
Y1 - 2007/1/1
N2 - Dense linear algebra (DLA) forms the core of many scientific computing applications. Consequently, there is continuous interest and demand for the development of increasingly better algorithms in the field. Here “better” has a broad meaning, and includes improved reliability, accuracy, robustness, ease of use, and most importantly new or improved algorithms that would more efficiently use the available computational resources to speed up the computation. The rapidly evolving high end computing systems and the close dependence of DLA algorithms on the computational environment is what makes the field particularly dynamic.
AB - Dense linear algebra (DLA) forms the core of many scientific computing applications. Consequently, there is continuous interest and demand for the development of increasingly better algorithms in the field. Here “better” has a broad meaning, and includes improved reliability, accuracy, robustness, ease of use, and most importantly new or improved algorithms that would more efficiently use the available computational resources to speed up the computation. The rapidly evolving high end computing systems and the close dependence of DLA algorithms on the computational environment is what makes the field particularly dynamic.
UR - http://www.scopus.com/inward/record.url?scp=85056040198&partnerID=8YFLogxK
U2 - 10.1201/9781420011296
DO - 10.1201/9781420011296
M3 - Chapter
AN - SCOPUS:85056040198
SN - 9781584886235
SP - 29-1-29-22
BT - Handbook of Parallel Computing
PB - CRC Press
ER -