"MAESTRO: A Data-Centric Approach to Understand Reuse, Performance, and ..."

Hyoukjun Kwon et al. (2020)

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DOI: 10.1109/MM.2020.2985963

access: closed

type: Journal Article

metadata version: 2022-12-07

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Hyoukjun Kwon, Prasanth Chatarasi, Vivek Sarkar, Tushar Krishna, Michael Pellauer, Angshuman Parashar:
MAESTRO: A Data-Centric Approach to Understand Reuse, Performance, and Hardware Cost of DNN Mappings. IEEE Micro 40(3): 20-29 (2020)

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