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Procedia Computer Science
Article . 2012 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Procedia Computer Science
Article . 2012
License: CC BY NC ND
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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Effective Utilization of Tensor Symmetry in Operation Optimization of Tensor Contraction Expressions

Authors: Lai, Pai-Wei; Zhang, Huaijian; Rajbhandari, Samyam; Valeev, Edward; Kowalski, Karol; Sadayappan, P.;

Effective Utilization of Tensor Symmetry in Operation Optimization of Tensor Contraction Expressions

Abstract

AbstractThe optimization of tensor expressions with hundreds of terms is required for the development of accurate quantum chemistry models such as the coupled cluster method. In this paper, we address the effective exploitation of symmetry properties of tensors in performing algebraic transformations for minimizing operation count of tensor expressions. We develop rules to detect symmetries in intermediate tensors, cost models for tensor contractions with symmetries, and a canonical representation to facilitate effective common subexpression elimination. We demonstrate significant improvements to the operation counts for the coupled cluster method when compared to several state-of-the-art im-plementations. Furthermore, we show that tensor expressions optimized for a few input parameter combinations can be used to achieve operation counts within 3% of the optimal, for the entire parameter space of interest.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Average
Average
gold