Graphicionado: A high-performance and energy-efficient accelerator for graph analytics

Article Details
Title:	Graphicionado: A high-performance and energy-efficient accelerator for graph analytics
Article URLs:	https://doi.org/10.1109/MICRO.2016.7783759 http://doi.ieeecomputersociety.org/10.1109/MICRO.2016.7783759 http://dl.acm.org/citation.cfm?id=3195707
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Authors:	Tae Jun Ham	Princeton University
	Lisa Wu	University of California - Berkeley
	Narayanan Sundaram	Intel Corporation, Parallel Computing Lab
	Nadathur Satish	Intel Corporation, Parallel Computing Lab
	Margaret Martonosi	Princeton University
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NSF Award Numbers:	1117147
DBLP Key:	conf/micro/HamWSSM16
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IEEE/ACM International Symposium on Microarchitecture, MICRO 2016