"Dataflow Driven Partitioning of Machine Learning Applications for Optimal ..."

Andres Gomez et al. (2022)

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DOI: 10.1145/3520135

access: closed

type: Journal Article

metadata version: 2022-12-21

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Andres Gomez, Andreas Tretter, Pascal Alexander Hager, Praveenth Sanmugarajah, Luca Benini, Lothar Thiele:
Dataflow Driven Partitioning of Machine Learning Applications for Optimal Energy Use in Batteryless Systems. ACM Trans. Embed. Comput. Syst. 21(5): 54:1-54:29 (2022)

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