Scalapack: A portable linear algebra library for distributed memory computers - Design issues and performance

L. S. Blackford; J. Choi; A. Cleary; J. Demmel; I. Dhillon; J. Dongarra; S. Hammarling; G. Henry; A. Petitet; K. Stanley; D. Walker; R. C. Whaley

doi:10.1109/SUPERC.1996.183513

Scalapack: A portable linear algebra library for distributed memory computers - Design issues and performance

L. S. Blackford, J. Choi, A. Cleary, J. Demmel, I. Dhillon, J. Dongarra, S. Hammarling, G. Henry, A. Petitet, K. Stanley, D. Walker, R. C. Whaley

Computer Science and Mathematics Div

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

17 Scopus citations

Abstract

This paper outlines the content and performance of ScaLAPACK, a collection of mathematical software for linear algebra computations on distributed memory computers. The importance of developing standards for computational and message passing interfaces is discussed. We present the different components and building blocks of ScaLAPACK, and indicate the difficulties inherent in producing correct codes for networks of heterogeneous processors. Finally, this paper briefly describes future directions for the ScaLAPACK library and concludes by suggesting alternative approaches to mathematical libraries, explaining how ScaLAPACK could be integrated into efficient and user-friendly distributed systems.

Original language	English
Title of host publication	Proceedings of the 1996 ACM/IEEE Conference on Supercomputing, SC 1996
Publisher	Association for Computing Machinery
ISBN (Electronic)	0897918541
DOIs	https://doi.org/10.1109/SUPERC.1996.183513
State	Published - 1996
Event	1996 ACM/IEEE Conference on Supercomputing, SC 1996 - Pittsburgh, United States Duration: Nov 17 1996 → Nov 22 1996

Publication series

Name	Proceedings of the International Conference on Supercomputing
Volume	1996-November

Conference

Conference	1996 ACM/IEEE Conference on Supercomputing, SC 1996
Country/Territory	United States
City	Pittsburgh
Period	11/17/96 → 11/22/96

Funding

This work was supported in part by the National Science Foundation Grant No. ASC-9005933; by the Defense Advanced Research Projects Agency under contract DAAH04-95-1-0077,administered by the Army Research Office;by the Office of Scientific Computing, U.S. Department of Energy, under Contract DE-AC05-84OR21400; and by the National Science Foundation Science and Technology Center Cooperative Agreement No. CCR-8809615. y(formerly L. S. Ostrouchov) Department of Computer Science, University of Tennessee, Knoxville, TN 37996-1301 zSoongsil University, Seoul, Korea xDepartment of Computer Science, University of Tennessee, Knoxville, TN 37996-1301 Computer Science Division, University of California, Berkeley, Berkeley, CA 94720 kDepartment of Computer Science, University of Tennessee, Knoxville, TN 37996-1301, and Mathematical Sciences Section, Oak Ridge National Laboratory, Oak Ridge, TN 37831 Department of Computer Science, University of Tennessee, Knoxville, TN 37996-1301, and NAG Ltd, England yyIntel SSPD, 15201 NW Greenbrier Pkwy., Bldg CO1-01, Beaverton OR 97006-5733 zzMathematical Sciences Section, Oak Ridge National Laboratory, Oak Ridge, TN 37831

Keywords

Math libraries
Numerical linear algebra
Parallel computing

Access to Document

10.1109/SUPERC.1996.183513

Cite this

Blackford, L. S., Choi, J., Cleary, A., Demmel, J., Dhillon, I., Dongarra, J., Hammarling, S., Henry, G., Petitet, A., Stanley, K., Walker, D., & Whaley, R. C. (1996). Scalapack: A portable linear algebra library for distributed memory computers - Design issues and performance. In Proceedings of the 1996 ACM/IEEE Conference on Supercomputing, SC 1996 (Proceedings of the International Conference on Supercomputing; Vol. 1996-November). Association for Computing Machinery. https://doi.org/10.1109/SUPERC.1996.183513

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title = "Scalapack: A portable linear algebra library for distributed memory computers - Design issues and performance",

abstract = "This paper outlines the content and performance of ScaLAPACK, a collection of mathematical software for linear algebra computations on distributed memory computers. The importance of developing standards for computational and message passing interfaces is discussed. We present the different components and building blocks of ScaLAPACK, and indicate the difficulties inherent in producing correct codes for networks of heterogeneous processors. Finally, this paper briefly describes future directions for the ScaLAPACK library and concludes by suggesting alternative approaches to mathematical libraries, explaining how ScaLAPACK could be integrated into efficient and user-friendly distributed systems.",

keywords = "Math libraries, Numerical linear algebra, Parallel computing",

author = "Blackford, {L. S.} and J. Choi and A. Cleary and J. Demmel and I. Dhillon and J. Dongarra and S. Hammarling and G. Henry and A. Petitet and K. Stanley and D. Walker and Whaley, {R. C.}",

note = "Publisher Copyright: {\textcopyright} 1996 IEEE.; 1996 ACM/IEEE Conference on Supercomputing, SC 1996 ; Conference date: 17-11-1996 Through 22-11-1996",

year = "1996",

doi = "10.1109/SUPERC.1996.183513",

language = "English",

series = "Proceedings of the International Conference on Supercomputing",

publisher = "Association for Computing Machinery",

booktitle = "Proceedings of the 1996 ACM/IEEE Conference on Supercomputing, SC 1996",

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Blackford, LS, Choi, J, Cleary, A, Demmel, J, Dhillon, I, Dongarra, J, Hammarling, S, Henry, G, Petitet, A, Stanley, K, Walker, D & Whaley, RC 1996, Scalapack: A portable linear algebra library for distributed memory computers - Design issues and performance. in Proceedings of the 1996 ACM/IEEE Conference on Supercomputing, SC 1996. Proceedings of the International Conference on Supercomputing, vol. 1996-November, Association for Computing Machinery, 1996 ACM/IEEE Conference on Supercomputing, SC 1996, Pittsburgh, United States, 11/17/96. https://doi.org/10.1109/SUPERC.1996.183513

Scalapack: A portable linear algebra library for distributed memory computers - Design issues and performance. / Blackford, L. S.; Choi, J.; Cleary, A. et al.
Proceedings of the 1996 ACM/IEEE Conference on Supercomputing, SC 1996. Association for Computing Machinery, 1996. (Proceedings of the International Conference on Supercomputing; Vol. 1996-November).

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

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AU - Blackford, L. S.

AU - Choi, J.

AU - Cleary, A.

AU - Demmel, J.

AU - Dhillon, I.

AU - Dongarra, J.

AU - Hammarling, S.

AU - Henry, G.

AU - Petitet, A.

AU - Stanley, K.

AU - Walker, D.

AU - Whaley, R. C.

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AB - This paper outlines the content and performance of ScaLAPACK, a collection of mathematical software for linear algebra computations on distributed memory computers. The importance of developing standards for computational and message passing interfaces is discussed. We present the different components and building blocks of ScaLAPACK, and indicate the difficulties inherent in producing correct codes for networks of heterogeneous processors. Finally, this paper briefly describes future directions for the ScaLAPACK library and concludes by suggesting alternative approaches to mathematical libraries, explaining how ScaLAPACK could be integrated into efficient and user-friendly distributed systems.

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KW - Numerical linear algebra

KW - Parallel computing

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T3 - Proceedings of the International Conference on Supercomputing

BT - Proceedings of the 1996 ACM/IEEE Conference on Supercomputing, SC 1996

PB - Association for Computing Machinery

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ER -

Blackford LS, Choi J, Cleary A, Demmel J, Dhillon I, Dongarra J et al. Scalapack: A portable linear algebra library for distributed memory computers - Design issues and performance. In Proceedings of the 1996 ACM/IEEE Conference on Supercomputing, SC 1996. Association for Computing Machinery. 1996. (Proceedings of the International Conference on Supercomputing). doi: 10.1109/SUPERC.1996.183513

Scalapack: A portable linear algebra library for distributed memory computers - Design issues and performance

Abstract

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Keywords

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