Towards automatic synthesis of high-performance codes for electronic structure calculations: Data locality optimization

D. Cociorva; J. Wilkins; G. Baumgartner; P. Sadayappan; J. Ramanujam; M. Nooijen; D. Bernholdt; R. Harrison

doi:10.1007/3-540-45307-5_21

Towards automatic synthesis of high-performance codes for electronic structure calculations: Data locality optimization

D. Cociorva, J. Wilkins, G. Baumgartner, P. Sadayappan, J. Ramanujam, M. Nooijen, D. Bernholdt, R. Harrison

Programming Systems

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

25 Scopus citations

Abstract

The goal of our project is the development of a program synthesis system to facilitate the development of high-performance parallel programs for a class of computations encountered in computational chemistry and computational physics. These computations are expressible as a set of tensor contractions and arise in electronic structure calculations. This paper provides an overview of a planned synthesis system that will take as input a high-level specification of the computation and generate high-performance parallel code for a number of target architectures. We focus on an approach to performing data locality optimization in this context. Preliminary experimental results on an SGI Origin 2000 are encouraging and demonstrate that the approach is effective.

Original language	English
Title of host publication	High Performance Computing - HiPC 2001 - 8th International Conference, Proceedings
Editors	Burkhard Monien, Viktor K. Prasanna, Sriram Vajapeyam
Publisher	Springer Verlag
Pages	237-248
Number of pages	12
ISBN (Print)	3540430091, 9783540430094
DOIs	https://doi.org/10.1007/3-540-45307-5_21
State	Published - 2001
Event	8th International Conference on High Performance Computing, HiPC 2001 - Hyderabad, India Duration: Dec 17 2001 → Dec 20 2001

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2228
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	8th International Conference on High Performance Computing, HiPC 2001
Country/Territory	India
City	Hyderabad
Period	12/17/01 → 12/20/01

Funding

Funders	Funder number
National Science Foundation	CCR-9457768, CCR-0073800, DMR-9520319

Access to Document

10.1007/3-540-45307-5_21

Cite this

Cociorva, D., Wilkins, J., Baumgartner, G., Sadayappan, P., Ramanujam, J., Nooijen, M., Bernholdt, D., & Harrison, R. (2001). Towards automatic synthesis of high-performance codes for electronic structure calculations: Data locality optimization. In B. Monien, V. K. Prasanna, & S. Vajapeyam (Eds.), High Performance Computing - HiPC 2001 - 8th International Conference, Proceedings (pp. 237-248). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2228). Springer Verlag. https://doi.org/10.1007/3-540-45307-5_21

Cociorva, D. ; Wilkins, J. ; Baumgartner, G. et al. / Towards automatic synthesis of high-performance codes for electronic structure calculations : Data locality optimization. High Performance Computing - HiPC 2001 - 8th International Conference, Proceedings. editor / Burkhard Monien ; Viktor K. Prasanna ; Sriram Vajapeyam. Springer Verlag, 2001. pp. 237-248 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "The goal of our project is the development of a program synthesis system to facilitate the development of high-performance parallel programs for a class of computations encountered in computational chemistry and computational physics. These computations are expressible as a set of tensor contractions and arise in electronic structure calculations. This paper provides an overview of a planned synthesis system that will take as input a high-level specification of the computation and generate high-performance parallel code for a number of target architectures. We focus on an approach to performing data locality optimization in this context. Preliminary experimental results on an SGI Origin 2000 are encouraging and demonstrate that the approach is effective.",

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Cociorva, D, Wilkins, J, Baumgartner, G, Sadayappan, P, Ramanujam, J, Nooijen, M, Bernholdt, D & Harrison, R 2001, Towards automatic synthesis of high-performance codes for electronic structure calculations: Data locality optimization. in B Monien, VK Prasanna & S Vajapeyam (eds), High Performance Computing - HiPC 2001 - 8th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2228, Springer Verlag, pp. 237-248, 8th International Conference on High Performance Computing, HiPC 2001, Hyderabad, India, 12/17/01. https://doi.org/10.1007/3-540-45307-5_21

Towards automatic synthesis of high-performance codes for electronic structure calculations: Data locality optimization. / Cociorva, D.; Wilkins, J.; Baumgartner, G. et al.
High Performance Computing - HiPC 2001 - 8th International Conference, Proceedings. ed. / Burkhard Monien; Viktor K. Prasanna; Sriram Vajapeyam. Springer Verlag, 2001. p. 237-248 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2228).

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

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AB - The goal of our project is the development of a program synthesis system to facilitate the development of high-performance parallel programs for a class of computations encountered in computational chemistry and computational physics. These computations are expressible as a set of tensor contractions and arise in electronic structure calculations. This paper provides an overview of a planned synthesis system that will take as input a high-level specification of the computation and generate high-performance parallel code for a number of target architectures. We focus on an approach to performing data locality optimization in this context. Preliminary experimental results on an SGI Origin 2000 are encouraging and demonstrate that the approach is effective.

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Cociorva D, Wilkins J, Baumgartner G, Sadayappan P, Ramanujam J, Nooijen M et al. Towards automatic synthesis of high-performance codes for electronic structure calculations: Data locality optimization. In Monien B, Prasanna VK, Vajapeyam S, editors, High Performance Computing - HiPC 2001 - 8th International Conference, Proceedings. Springer Verlag. 2001. p. 237-248. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-45307-5_21

Towards automatic synthesis of high-performance codes for electronic structure calculations: Data locality optimization

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