@INPROCEEDINGS{Li:2017:CPD,
author={J. Li and J. Choi and I. Perros and J. Sun and R. Vuduc},
booktitle={2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS)},
title={Model-Driven Sparse CP Decomposition for Higher-Order Tensors},
year={2017},
volume={},
number={},
pages={1048-1057},
keywords={data analysis;data mining;tensors;CANDECOMP/PARAFAC decomposition;CPD algorithm;MTTKRP sequence;asymptotic complexity;central bottleneck;data analysis;data mining;full CPD algorithm;higher order tensors;low-rank representation;machine parameters;matricized tensor times Khatri-Rao products;model driven framework;model driven sparse CP decomposition;tensor toolbox library;tuning algorithmic;Computational modeling;Data mining;Indexes;Matrix decomposition;Predictive models;Sparse matrices;Tensile stress;auto-tuning;sparse tensor;tensor decomposition},
doi={10.1109/IPDPS.2017.80},
ISSN={},
month={May},
}