Prospectus for a dense linear algebra software library

James Demmel; Beresford Parlett; William Kahan; Ming Gu; David Bindel; Yozo Hida; E. Jason Riedy; Christof Voemel; Jack Dongarra; Jakub Kurzak; Alfredo Buttari; Julie Langou; Stanimire Tomov; Xiaoye Li; Osni Marques; Julien Langou; Piotr Luszczek

doi:10.1201/9781420011296

Prospectus for a dense linear algebra software library

James Demmel
, Beresford Parlett
, William Kahan
, Ming Gu
, David Bindel
, Yozo Hida
, E. Jason Riedy
, Christof Voemel
, Jack Dongarra
, Jakub Kurzak
, Alfredo Buttari
, Julie Langou
, Stanimire Tomov
, Xiaoye Li
, Osni Marques
, Julien Langou
, Piotr Luszczek

Computer Science and Mathematics Div

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

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.

Original language	English
Title of host publication	Handbook of Parallel Computing
Subtitle of host publication	Models, Algorithms and Applications
Publisher	CRC Press
Pages	29-1-29-22
ISBN (Electronic)	9781420011296
ISBN (Print)	9781584886235
DOIs	https://doi.org/10.1201/9781420011296
State	Published - Jan 1 2007

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Demmel, J., Parlett, B., Kahan, W., Gu, M., Bindel, D., Hida, Y., Riedy, E. J., Voemel, C., Dongarra, J., Kurzak, J., Buttari, A., Langou, J., Tomov, S., Li, X., Marques, O., Langou, J., & Luszczek, P. (2007). Prospectus for a dense linear algebra software library. In Handbook of Parallel Computing: Models, Algorithms and Applications (pp. 29-1-29-22). CRC Press. https://doi.org/10.1201/9781420011296

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abstract = "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 {\textquotedblleft}better{\textquotedblright} 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.",

author = "James Demmel and Beresford Parlett and William Kahan and Ming Gu and David Bindel and Yozo Hida and Riedy, \{E. Jason\} and Christof Voemel and Jack Dongarra and Jakub Kurzak and Alfredo Buttari and Julie Langou and Stanimire Tomov and Xiaoye Li and Osni Marques and Julien Langou and Piotr Luszczek",

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doi = "10.1201/9781420011296",

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Demmel, J, Parlett, B, Kahan, W, Gu, M, Bindel, D, Hida, Y, Riedy, EJ, Voemel, C, Dongarra, J, Kurzak, J, Buttari, A, Langou, J, Tomov, S, Li, X, Marques, O, Langou, J & Luszczek, P 2007, Prospectus for a dense linear algebra software library. in Handbook of Parallel Computing: Models, Algorithms and Applications. CRC Press, pp. 29-1-29-22. https://doi.org/10.1201/9781420011296

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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

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.

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SN - 9781584886235

SP - 29-1-29-22

BT - Handbook of Parallel Computing

PB - CRC Press

ER -

Prospectus for a dense linear algebra software library

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