PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-Efficient ReRAM

The wide adoption of deep neural networks has been accompanied by ever-increasing energy and performance demands due to the expensive nature of training them. Numerous special-purpose architectures have been proposed to accelerate training: both digital and hybrid digital-analog using resistive RAM...

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Veröffentlicht in:IEEE transactions on computers 2020-08, Vol.69 (8), p.1128-1142
Hauptverfasser: Ankit, Aayush, Hajj, Izzat El, Chalamalasetti, Sai Rahul, Agarwal, Sapan, Marinella, Matthew, Foltin, Martin, Strachan, John Paul, Milojicic, Dejan, Hwu, Wen-Mei, Roy, Kaushik
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Sprache:eng
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