TY - JOUR
T1 - Looking back at dense linear algebra software
AU - Luszczek, Piotr
AU - Kurzak, Jakub
AU - Dongarra, Jack
PY - 2014/7
Y1 - 2014/7
N2 - Over the years, computational physics and chemistry served as an ongoing source of problems that demanded the ever increasing performance from hardware as well as the software that ran on top of it. Most of these problems could be translated into solutions for systems of linear equations: the very topic of numerical linear algebra. Seemingly then, a set of efficient linear solvers could be solving important scientific problems for years to come. We argue that dramatic changes in hardware designs precipitated by the shifting nature of the marketplace of computer hardware had a continuous effect on the software for numerical linear algebra. The extraction of high percentages of peak performance continues to require adaptation of software. If the past history of this adaptive nature of linear algebra software is any guide then the future theme will feature changes as well-changes aimed at harnessing the incredible advances of the evolving hardware infrastructure.
AB - Over the years, computational physics and chemistry served as an ongoing source of problems that demanded the ever increasing performance from hardware as well as the software that ran on top of it. Most of these problems could be translated into solutions for systems of linear equations: the very topic of numerical linear algebra. Seemingly then, a set of efficient linear solvers could be solving important scientific problems for years to come. We argue that dramatic changes in hardware designs precipitated by the shifting nature of the marketplace of computer hardware had a continuous effect on the software for numerical linear algebra. The extraction of high percentages of peak performance continues to require adaptation of software. If the past history of this adaptive nature of linear algebra software is any guide then the future theme will feature changes as well-changes aimed at harnessing the incredible advances of the evolving hardware infrastructure.
KW - Decompositional approach
KW - Dense linear algebra
KW - Parallel algorithms
UR - http://www.scopus.com/inward/record.url?scp=84901587022&partnerID=8YFLogxK
U2 - 10.1016/j.jpdc.2013.10.005
DO - 10.1016/j.jpdc.2013.10.005
M3 - Article
AN - SCOPUS:84901587022
SN - 0743-7315
VL - 74
SP - 2548
EP - 2560
JO - Journal of Parallel and Distributed Computing
JF - Journal of Parallel and Distributed Computing
IS - 7
ER -