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

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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

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"

10 / 10 papers shown

MINIMALIST: switched-capacitor circuits for efficient in-memory computation of gated recurrent units

Sebastian Billaudelle

317

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A Low-Power Streaming Speech Enhancement Accelerator For Edge DevicesIEEE Open Journal of Circuits and Systems (OJ-CAS), 2025

Ci-Hao Wu

Tian-Sheuan Chang

278

27 Mar 2025

Language Modeling on a SpiNNaker 2 Neuromorphic ChipInternational Conference on Artificial Intelligence Circuits and Systems (ICAICS), 2023

Khaleelulla Khan Nazeer

317

14 Dec 2023

RecLight: A Recurrent Neural Network Accelerator with Integrated Silicon PhotonicsIEEE Computer Society Annual Symposium on VLSI (VLSI), 2022

Febin P. Sunny

Mahdi Nikdast

S. Pasricha

141

31 Aug 2022

Vau da muntanialas: Energy-efficient multi-die scalable acceleration of RNN inferenceIEEE Transactions on Circuits and Systems Part 1: Regular Papers (TCAS-I), 2021

G. Paulin

Francesco Conti

Lukas Cavigelli

Luca Benini

156

14 Feb 2022

RNNAccel: A Fusion Recurrent Neural Network Accelerator for Edge Intelligence

26 Oct 2020

Data-Driven Neuromorphic DRAM-based CNN and RNN AcceleratorsAsilomar Conference on Signals, Systems and Computers (ACSSC), 2019

T. Delbruck

Shih-Chii Liu

168

29 Mar 2020

FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of ThingsIEEE Internet of Things Journal (IEEE IoT Journal), 2019

Xiaying Wang

Michele Magno

Lukas Cavigelli

Luca Benini

323

131

08 Nov 2019

ELSA: A Throughput-Optimized Design of an LSTM Accelerator for Energy-Constrained DevicesACM Transactions on Embedded Computing Systems (ACM TECS), 2019

E. Azari

S. Vrudhula

180

19 Oct 2019

AIDA: Associative DNN Inference Accelerator

L. Yavits

R. Kaplan

R. Ginosar

20 Dec 2018

Chipmunk: A Systolically Scalable 0.9 mm2{}^22, 3.08 Gop/s/mW @ 1.2 mW Accelerator for Near-Sensor Recurrent Neural Network Inference

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"

Chipmunk: A Systolically Scalable 0.9 mm2{}^22, 3.08 Gop/s/mW @ 1.2 mW Accelerator for Near-Sensor Recurrent Neural Network Inference

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"

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