Vau da muntanialas: Energy-efficient multi-die scalable acceleration of RNN inference

14 February 2022

Luca Benini

Papers citing "Vau da muntanialas: Energy-efficient multi-die scalable acceleration of RNN inference"

28 / 28 papers shown

Title
Always-On 674uW @ 4GOP/s Error Resilient Binary Neural Networks with Aggressive SRAM Voltage Scaling on a 22nm IoT End-Node Alfio Di Mauro Francesco Conti Pasquale Davide Schiavone D. Rossi Luca Benini 51 9 0 17 Jul 2020
RPR: Random Partition Relaxation for Training; Binary and Ternary Weight Neural Networks Lukas Cavigelli Luca Benini MQ 47 9 0 04 Jan 2020
ELSA: A Throughput-Optimized Design of an LSTM Accelerator for Energy-Constrained Devices E. Azari S. Vrudhula 62 5 0 19 Oct 2019
EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators Lukas Cavigelli Georg Rutishauser Luca Benini MQ 38 34 0 30 Aug 2019
Data-Free Quantization Through Weight Equalization and Bias Correction Markus Nagel M. V. Baalen Tijmen Blankevoort Max Welling MQ 75 513 0 11 Jun 2019
A Study of BFLOAT16 for Deep Learning Training Dhiraj D. Kalamkar Dheevatsa Mudigere Naveen Mellempudi Dipankar Das K. Banerjee ... Sudarshan Srinivasan Abhisek Kundu M. Smelyanskiy Bharat Kaul Pradeep Dubey MQ 83 346 0 29 May 2019
AIDA: Associative DNN Inference Accelerator L. Yavits R. Kaplan R. Ginosar 22 1 0 20 Dec 2018
Learning to Skip Ineffectual Recurrent Computations in LSTMs A. Ardakani Zhengyun Ji W. Gross 32 16 0 09 Nov 2018
CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams Lukas Cavigelli Luca Benini 61 26 0 15 Aug 2018
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks Dongqing Zhang Jiaolong Yang Dongqiangzi Ye G. Hua MQ 62 703 0 26 Jul 2018
XNOR Neural Engine: a Hardware Accelerator IP for 21.6 fJ/op Binary Neural Network Inference Francesco Conti Pasquale Davide Schiavone Luca Benini 69 109 0 09 Jul 2018
C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs Shuo Wang Zhe Li Caiwen Ding Bo Yuan Yanzhi Wang Qinru Qiu Yun Liang 45 193 0 14 Mar 2018
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling Shaojie Bai J. Zico Kolter V. Koltun DRL 95 4,815 0 04 Mar 2018
Effective Quantization Approaches for Recurrent Neural Networks Md. Zahangir Alom A. Moody N. Maruyama B. Van Essen T. Taha MQ 45 35 0 07 Feb 2018
Alternating Multi-bit Quantization for Recurrent Neural Networks Chen Xu Jianqiang Yao Zhouchen Lin Wenwu Ou Yuanbin Cao Zhirong Wang H. Zha MQ 76 116 0 01 Feb 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 184 19,284 0 13 Jan 2018
Recent Advances in Recurrent Neural Networks Hojjat Salehinejad Sharan Sankar Joseph Barfett E. Colak S. Valaee AI4TS 102 582 0 29 Dec 2017
$Chipmunk: A Systolically Scalable 0.9 mm${}^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 Francesco Conti Lukas Cavigelli G. Paulin Igor Susmelj Luca Benini 36 42 0 15 Nov 2017
Recent Trends in Deep Learning Based Natural Language Processing Tom Young Devamanyu Hazarika Soujanya Poria Min Zhang 75 2,835 0 09 Aug 2017
Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM Cong Leng Hao Li Shenghuo Zhu Rong Jin MQ 63 287 0 24 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 701 131,652 0 12 Jun 2017
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 395 1,051 0 10 Feb 2017
Trained Ternary Quantization Chenzhuo Zhu Song Han Huizi Mao W. Dally MQ 137 1,035 0 04 Dec 2016
ESE: Efficient Speech Recognition Engine with Sparse LSTM on FPGA Song Han Junlong Kang Huizi Mao Yiming Hu Xin Li ... Hong Luo Song Yao Yu Wang Huazhong Yang W. Dally 73 629 0 01 Dec 2016
Effective Quantization Methods for Recurrent Neural Networks Qinyao He He Wen Shuchang Zhou Yuxin Wu Cong Yao Xinyu Zhou Yuheng Zou MQ 63 75 0 30 Nov 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Deep Speech: Scaling up end-to-end speech recognition Awni Y. Hannun Carl Case Jared Casper Bryan Catanzaro G. Diamos ... R. Prenger S. Satheesh Shubho Sengupta Adam Coates A. Ng 180 2,128 0 17 Dec 2014
Speech Recognition with Deep Recurrent Neural Networks Alex Graves Abdel-rahman Mohamed Geoffrey E. Hinton 226 8,517 0 22 Mar 2013