Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks

Article Details
Title:	Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks
Article URLs:	https://doi.org/10.1109/ISCA.2016.40 http://doi.ieeecomputersociety.org/10.1109/ISCA.2016.40
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Authors:	Yu-Hsin Chen	MIT, EECS
	Joel S. Emer	MIT, EECS NVIDIA, NVIDIA Research
	Vivienne Sze	MIT, EECS
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DBLP Key:	conf/isca/ChenES16
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ACM/IEEE International Symposium on Computer Architecture, ISCA 2016