$Chipmunk: A Systolically Scalable 0.9 mm${}^2$, 3.08 Gop/s/mW @ 1.2 mW Accelerator for Near-Sensor Recurrent Neural Network Inference$

Chipmunk: A Systolically Scalable 0.9 mm ${}^2$ , 3.08 Gop/s/mW @ 1.2 mW Accelerator for Near-Sensor Recurrent Neural Network Inference

15 November 2017

Francesco Conti

Lukas Cavigelli

Luca Benini

Papers citing "Chipmunk: A Systolically Scalable 0.9 mm${}^2$, 3.08 Gop/s/mW @ 1.2 mW Accelerator for Near-Sensor Recurrent Neural Network Inference"

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Vau da muntanialas: Energy-efficient multi-die scalable acceleration of RNN inference G. Paulin Francesco Conti Lukas Cavigelli Luca Benini 29 8 0 14 Feb 2022
Data-Driven Neuromorphic DRAM-based CNN and RNN Accelerators T. Delbruck Shih-Chii Liu 21 4 0 29 Mar 2020
ELSA: A Throughput-Optimized Design of an LSTM Accelerator for Energy-Constrained Devices E. Azari S. Vrudhula 20 5 0 19 Oct 2019