PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference
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Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Geoffrey Ndu, Martin Foltin, R. Stanley Williams, Paolo Faraboschi, Wen-mei W. Hwu, John Paul Strachan, Kaushik Roy 0001, Dejan S. Milojicic
PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference
ASPLOS, 2019.

ASPLOS 2019
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@inproceedings{ASPLOS-2019-AnkitHCNFWFHS0M,
	author        = "Aayush Ankit and Izzat El Hajj and Sai Rahul Chalamalasetti and Geoffrey Ndu and Martin Foltin and R. Stanley Williams and Paolo Faraboschi and Wen-mei W. Hwu and John Paul Strachan and Kaushik Roy 0001 and Dejan S. Milojicic",
	booktitle     = "{Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems}",
	doi           = "10.1145/3297858.3304049",
	isbn          = "978-1-4503-6240-5",
	pages         = "715--731",
	publisher     = "{ACM}",
	title         = "{PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference}",
	year          = 2019,
}

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