CosmoFlow: using deep learning to learn the universe at scale

Article Details
Title:	CosmoFlow: using deep learning to learn the universe at scale
Article URLs:	http://dl.acm.org/citation.cfm?id=3291743
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Authors:	Amrita Mathuriya	Intel Corporation
	Deborah Bard	Lawrence Berkeley National Laboratory
	Peter Mendygral	Cray Inc.
	Lawrence Meadows	Intel Corporation
	James Arnemann	U.C. Berkeley
	Lei Shao	Intel Corporation
	Siyu He	Flatiron Institute, Center for Computational Astrophysics Lawrence Berkeley National Laboratory Carnegie Mellon University, McWilliams Center for Cosmology
	Tuomas Kärnä	Intel Corporation
	Diana Moise	Cray Inc.
	Simon J. Pennycook	Intel Corporation
	Kristyn J. Maschhoff	Intel Corporation
	Jason Sewall	Intel Corporation
	Nalini Kumar	Intel Corporation
	Shirley Ho	Flatiron Institute, Center for Computational Astrophysics Lawrence Berkeley National Laboratory Carnegie Mellon University, McWilliams Center for Cosmology
	Michael F. Ringenburg	Cray Inc.
	Prabhat	Lawrence Berkeley National Laboratory
	Victor W. Lee	Intel Corporation
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DBLP Key:	conf/sc/MathuriyaBMMASH18
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ACM/IEEE Intl. Conf. for High Perf. Computing, Networking, Storage and Analysis, SC 2018