An exploration of optimization algorithms for high performance tensor completion

Article Details
Title:	An exploration of optimization algorithms for high performance tensor completion
Article URLs:	https://doi.org/10.1109/SC.2016.30 http://doi.ieeecomputersociety.org/10.1109/SC.2016.30 http://dl.acm.org/citation.cfm?id=3014946
Alternative Article URLs:	https://www.sciencedirect.com/science/article/pii/S0167819117301849
Authors:	Shaden Smith	University of Minnesota, Department of Computer Science and Engineering
	Jongsoo Park	Intel Corporation, Parallel Computing Lab
	George Karypis	University of Minnesota, Department of Computer Science and Engineering
Sharing:	Research produced artifacts
Verification:	Authors have verified information
Artifact Evaluation Badge:	Artifacts for some papers are reviewed by an artifact evaluation, reproducibility, or similarly named committee. This is one such paper that passed review. awarded
Artifact URLs:	https://github.com/ShadenSmith/splatt
Artifact Correspondence Email Addresses:	shaden@cs.umn.edu
NSF Award Numbers:	0905220, 1048018, 1162405, 1247632, 1414153, 1447788
DBLP Key:	conf/sc/SmithPK16
Author Comments:

ACM/IEEE Intl. Conf. for High Perf. Computing, Networking, Storage and Analysis, SC 2016