A machine learning framework for performance coverage analysis of proxy applications

Article Details
Title:	A machine learning framework for performance coverage analysis of proxy applications
Article URLs:	https://doi.org/10.1109/SC.2016.45 http://doi.ieeecomputersociety.org/10.1109/SC.2016.45 http://dl.acm.org/citation.cfm?id=3014966
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Authors:	Tanzima Zerin Islam	Lawrence Livermore National Laboratory, Center for Applied Scientific Computing
	Jayaraman J. Thiagarajan	Lawrence Livermore National Laboratory, Center for Applied Scientific Computing
	Abhinav Bhatele	Lawrence Livermore National Laboratory, Center for Applied Scientific Computing
	Martin Schulz	Lawrence Livermore National Laboratory, Center for Applied Scientific Computing
	Todd Gamblin	Lawrence Livermore National Laboratory, Center for Applied Scientific Computing
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DBLP Key:	conf/sc/IslamTBSG16
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ACM/IEEE Intl. Conf. for High Perf. Computing, Networking, Storage and Analysis, SC 2016