Perilla: metadata-based optimizations of an asynchronous runtime for adaptive mesh refinement

Article Details
Title:	Perilla: metadata-based optimizations of an asynchronous runtime for adaptive mesh refinement
Article URLs:	https://doi.org/10.1109/SC.2016.80 http://doi.ieeecomputersociety.org/10.1109/SC.2016.80 http://dl.acm.org/citation.cfm?id=3015013
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Authors:	Tan Nguyen	Lawrence Berkeley National Laboratory
	Didem Unat	Koç University
	Weiqun Zhang	Lawrence Berkeley National Laboratory
	Ann S. Almgren	Lawrence Berkeley National Laboratory
	Muhammed Nufail Farooqi	Koç University
	John Shalf	Lawrence Berkeley National Laboratory
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DBLP Key:	conf/sc/NguyenUZAFS16
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ACM/IEEE Intl. Conf. for High Perf. Computing, Networking, Storage and Analysis, SC 2016