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. In Iris Bahar, Maurice Herlihy, Emmett Witchel, Alvin R. Lebeck, editors, Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, ASPLOS 2019, Providence, RI, USA, April 13-17, 2019. pages 715-731, ACM, 2019. [doi]
@inproceedings{AnkitHCNFWFHS0M19,
title = {PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference},
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},
year = {2019},
doi = {10.1145/3297858.3304049},
url = {https://doi.org/10.1145/3297858.3304049},
researchr = {https://researchr.org/publication/AnkitHCNFWFHS0M19},
cites = {0},
citedby = {0},
pages = {715-731},
booktitle = {Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, ASPLOS 2019, Providence, RI, USA, April 13-17, 2019},
editor = {Iris Bahar and Maurice Herlihy and Emmett Witchel and Alvin R. Lebeck},
publisher = {ACM},
isbn = {978-1-4503-6240-5},
}