A performance optimization framework for compilation of tensor contraction expressions into parallel

G. Baumgartner; D. E. Bernholdt; D. Cociorva; R. Harrison; Chi Chung Lam; M. Nooijen; J. Ramanujam; P. Sadayappan

doi:10.1109/IPDPS.2002.1016492

A performance optimization framework for compilation of tensor contraction expressions into parallel

G. Baumgartner
, D. E. Bernholdt
, D. Cociorva
, R. Harrison
, Chi Chung Lam
, M. Nooijen
, J. Ramanujam
, P. Sadayappan

Applied Mathematics and Statistics

Ohio State University
Oak Ridge National Laboratory
Princeton University
Louisiana State University

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

4 Scopus citations

Abstract

This paper discusses a program synthesis system to facilitate the generation of high-performance parallel programs for a class of computations encountered in quantum chemistry and physics. These computations are expressible as a set of tensor contractions and arise in electronic structure modeling. An overview is provided of the synthesis system under development, that will take as input a high-level specification of the computation and generate high-performance parallel code for a number of target architectures. Several components of the synthesis system are described, focusing on compile-time optimization issues that they address.

Original language	English
Title of host publication	Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2002
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	106
Number of pages	1
ISBN (Electronic)	0769515738, 9780769515731
DOIs	https://doi.org/10.1109/IPDPS.2002.1016492
State	Published - 2002
Event	16th International Parallel and Distributed Processing Symposium, IPDPS 2002 - Ft. Lauderdale, United States Duration: Apr 15 2002 → Apr 19 2002

Publication series

Name	Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2002

Conference

Conference	16th International Parallel and Distributed Processing Symposium, IPDPS 2002
Country/Territory	United States
City	Ft. Lauderdale
Period	04/15/02 → 04/19/02

Access to Document

10.1109/IPDPS.2002.1016492

Cite this

Baumgartner, G., Bernholdt, D. E., Cociorva, D., Harrison, R., Lam, C. C., Nooijen, M., Ramanujam, J., & Sadayappan, P. (2002). A performance optimization framework for compilation of tensor contraction expressions into parallel. In Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2002 (pp. 106). Article 1016492 (Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2002). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IPDPS.2002.1016492

Baumgartner, G. ; Bernholdt, D. E. ; Cociorva, D. et al. / A performance optimization framework for compilation of tensor contraction expressions into parallel. Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2002. Institute of Electrical and Electronics Engineers Inc., 2002. pp. 106 (Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2002).

@inproceedings{ec74373bb3024a188f0079248c64d3b5,

title = "A performance optimization framework for compilation of tensor contraction expressions into parallel",

abstract = "This paper discusses a program synthesis system to facilitate the generation of high-performance parallel programs for a class of computations encountered in quantum chemistry and physics. These computations are expressible as a set of tensor contractions and arise in electronic structure modeling. An overview is provided of the synthesis system under development, that will take as input a high-level specification of the computation and generate high-performance parallel code for a number of target architectures. Several components of the synthesis system are described, focusing on compile-time optimization issues that they address.",

author = "G. Baumgartner and Bernholdt, \{D. E.\} and D. Cociorva and R. Harrison and Lam, \{Chi Chung\} and M. Nooijen and J. Ramanujam and P. Sadayappan",

note = "Publisher Copyright: {\textcopyright} 2002 IEEE.; 16th International Parallel and Distributed Processing Symposium, IPDPS 2002 ; Conference date: 15-04-2002 Through 19-04-2002",

year = "2002",

doi = "10.1109/IPDPS.2002.1016492",

language = "English",

series = "Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2002",

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pages = "106",

booktitle = "Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2002",

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Baumgartner, G, Bernholdt, DE, Cociorva, D, Harrison, R, Lam, CC, Nooijen, M, Ramanujam, J & Sadayappan, P 2002, A performance optimization framework for compilation of tensor contraction expressions into parallel. in Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2002., 1016492, Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2002, Institute of Electrical and Electronics Engineers Inc., pp. 106, 16th International Parallel and Distributed Processing Symposium, IPDPS 2002, Ft. Lauderdale, United States, 04/15/02. https://doi.org/10.1109/IPDPS.2002.1016492

A performance optimization framework for compilation of tensor contraction expressions into parallel. / Baumgartner, G.; Bernholdt, D. E.; Cociorva, D. et al.
Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2002. Institute of Electrical and Electronics Engineers Inc., 2002. p. 106 1016492 (Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2002).

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

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AU - Lam, Chi Chung

AU - Nooijen, M.

AU - Ramanujam, J.

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AB - This paper discusses a program synthesis system to facilitate the generation of high-performance parallel programs for a class of computations encountered in quantum chemistry and physics. These computations are expressible as a set of tensor contractions and arise in electronic structure modeling. An overview is provided of the synthesis system under development, that will take as input a high-level specification of the computation and generate high-performance parallel code for a number of target architectures. Several components of the synthesis system are described, focusing on compile-time optimization issues that they address.

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Baumgartner G, Bernholdt DE, Cociorva D, Harrison R, Lam CC, Nooijen M et al. A performance optimization framework for compilation of tensor contraction expressions into parallel. In Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2002. Institute of Electrical and Electronics Engineers Inc. 2002. p. 106. 1016492. (Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2002). doi: 10.1109/IPDPS.2002.1016492

A performance optimization framework for compilation of tensor contraction expressions into parallel

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