PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference - researchr publication authors

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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. 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]

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