YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN Acceleration

17 June 2016

Luca Benini

Papers citing "YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN Acceleration"

49 / 49 papers shown

Title
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs A. M. Ribeiro-dos-Santos João Dinis Ferreira O. Mutlu G. Falcão MQ 21 1 0 15 Jan 2023
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications Han Cai Ji Lin Yujun Lin Zhijian Liu Haotian Tang Hanrui Wang Ligeng Zhu Song Han 24 107 0 25 Apr 2022
Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey Giorgos Armeniakos Georgios Zervakis Dimitrios Soudris J. Henkel 211 93 0 16 Mar 2022
R2F: A Remote Retraining Framework for AIoT Processors with Computing Errors Dawen Xu Meng He Cheng Liu Ying Wang Long Cheng Huawei Li Xiaowei Li Kwang-Ting Cheng 9 9 0 07 Jul 2021
Measuring what Really Matters: Optimizing Neural Networks for TinyML Lennart Heim Andreas Biri Zhongnan Qu Lothar Thiele 46 30 0 21 Apr 2021
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead Maurizio Capra Beatrice Bussolino Alberto Marchisio Guido Masera Maurizio Martina Muhammad Shafique BDL 56 140 0 21 Dec 2020
Running Neural Networks on the NIC G. Siracusano Salvator Galea D. Sanvito Mohammad Malekzadeh Hamed Haddadi G. Antichi R. Bifulco 11 25 0 04 Sep 2020
Training Deep Neural Networks with Constrained Learning Parameters Prasanna Date C. Carothers J. Mitchell James A. Hendler M. Magdon-Ismail 18 1 0 01 Sep 2020
Automated Design Space Exploration for optimised Deployment of DNN on Arm Cortex-A CPUs Miguel de Prado Andrew Mundy Rabia Saeed Maurizo Denna Nuria Pazos Luca Benini 19 11 0 09 Jun 2020
Quantized Neural Networks: Characterization and Holistic Optimization Yoonho Boo Sungho Shin Wonyong Sung MQ 40 8 0 31 May 2020
An Experimental Study of Reduced-Voltage Operation in Modern FPGAs for Neural Network Acceleration Behzad Salami Erhan Baturay Onural Ismail Emir Yüksel Fahrettin Koc Oguz Ergin A. Cristal O. Unsal H. Sarbazi-Azad O. Mutlu 27 45 0 04 May 2020
A scalable and efficient convolutional neural network accelerator using HLS for a System on Chip design K. Bjerge J. Schougaard Daniel Ejnar Larsen 11 1 0 27 Apr 2020
Improving Efficiency in Neural Network Accelerator Using Operands Hamming Distance optimization Meng Li Yilei Li P. Chuang Liangzhen Lai Vikas Chandra 9 3 0 13 Feb 2020
TentacleNet: A Pseudo-Ensemble Template for Accurate Binary Convolutional Neural Networks Luca Mocerino A. Calimera MQ 8 4 0 20 Dec 2019
FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things Xiaying Wang Michele Magno Lukas Cavigelli Luca Benini 19 116 0 08 Nov 2019
EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators Lukas Cavigelli Georg Rutishauser Luca Benini MQ 6 34 0 30 Aug 2019
Distributed Deep Convolutional Neural Networks for the Internet-of-Things Simone Disabato M. Roveri Cesare Alippi 16 47 0 02 Aug 2019
Processing-In-Memory Acceleration of Convolutional Neural Networks for Energy-Efficiency, and Power-Intermittency Resilience A. Roohi Shaahin Angizi Deliang Fan R. Demara 11 15 0 16 Apr 2019
Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks G. B. Hacene Vincent Gripon M. Arzel Nicolas Farrugia Yoshua Bengio MQ 6 14 0 29 Dec 2018
Distill-Net: Application-Specific Distillation of Deep Convolutional Neural Networks for Resource-Constrained IoT Platforms Mohammad Motamedi Felix Portillo Daniel D. Fong S. Ghiasi 23 3 0 16 Dec 2018
Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA Cheng Fu Shilin Zhu Hao Su Ching-En Lee Jishen Zhao MQ 15 31 0 04 Oct 2018
Extended Bit-Plane Compression for Convolutional Neural Network Accelerators Lukas Cavigelli Luca Benini 19 20 0 01 Oct 2018
CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams Lukas Cavigelli Luca Benini 19 26 0 15 Aug 2018
Energy-based Tuning of Convolutional Neural Networks on Multi-GPUs F. M. Castro Nicolás Guil Mata M. Marín-Jiménez Jesús Pérez Serrano M. Ujaldón 9 19 0 01 Aug 2018
PCNNA: A Photonic Convolutional Neural Network Accelerator A. Mehrabian Yousra Alkabani V. Sorger T. El-Ghazawi 8 64 0 23 Jul 2018
NullaNet: Training Deep Neural Networks for Reduced-Memory-Access Inference M. Nazemi Ghasem Pasandi Massoud Pedram 15 20 0 23 Jul 2018
Exploration of Low Numeric Precision Deep Learning Inference Using Intel FPGAs Philip Colangelo Nasibeh Nasiri Asit K. Mishra Eriko Nurvitadhi M. Margala Kevin Nealis MQ 19 1 0 12 Jun 2018
Accelerating CNN inference on FPGAs: A Survey K. Abdelouahab Maxime Pelcat Jocelyn Serot F. Berry AI4CE 22 147 0 26 May 2018
SIPs: Succinct Interest Points from Unsupervised Inlierness Probability Learning Titus Cieslewski Konstantinos G. Derpanis Davide Scaramuzza 20 7 0 03 May 2018
Universal and Succinct Source Coding of Deep Neural Networks Sourya Basu L. Varshney BDL 12 3 0 09 Apr 2018
MT-Spike: A Multilayer Time-based Spiking Neuromorphic Architecture with Temporal Error Backpropagation Tao Liu Zihao Liu Fuhong Lin Yier Jin Gang Quan Wujie Wen 21 32 0 14 Mar 2018
PT-Spike: A Precise-Time-Dependent Single Spike Neuromorphic Architecture with Efficient Supervised Learning Tao Liu Lei Jiang Yier Jin Gang Quan Wujie Wen 11 11 0 14 Mar 2018
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes Yuhong Li Xiaofan Zhang Deming Chen 60 1,321 0 27 Feb 2018
An Area and Energy Efficient Design of Domain-Wall Memory-Based Deep Convolutional Neural Networks using Stochastic Computing Xiaolong Ma Yipeng Zhang Geng Yuan Ao Ren Zhe Li Jie Han J. Hu Yanzhi Wang 14 17 0 03 Feb 2018
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks Hardik Sharma Jongse Park Naveen Suda Liangzhen Lai Benson Chau J. Kim Vikas Chandra H. Esmaeilzadeh MQ 21 486 0 05 Dec 2017
LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks Ruizhou Ding Z. Liu Rongye Shi Diana Marculescu R. D. Blanton MQ 16 37 0 02 Dec 2017
Tactics to Directly Map CNN graphs on Embedded FPGAs K. Abdelouahab Maxime Pelcat Jocelyn Sérot C. Bourrasset F. Berry Jocelyn Serot 8 61 0 20 Nov 2017
ReBNet: Residual Binarized Neural Network M. Ghasemzadeh Mohammad Samragh F. Koushanfar MQ 22 4 0 03 Nov 2017
Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks Shuchang Zhou Yuzhi Wang He Wen Qinyao He Yuheng Zou MQ 22 110 0 22 Jun 2017
BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet Haojin Yang Martin Fritzsche Christian Bartz Christoph Meinel MQ 11 61 0 27 May 2017
CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data Lukas Cavigelli Philippe Degen Luca Benini BDL 19 51 0 14 Apr 2017
Efficient Processing of Deep Neural Networks: A Tutorial and Survey Vivienne Sze Yu-hsin Chen Tien-Ju Yang J. Emer AAML 3DV 41 2,991 0 27 Mar 2017
Scaling Binarized Neural Networks on Reconfigurable Logic Nicholas J. Fraser Yaman Umuroglu Giulio Gambardella Michaela Blott Philip H. W. Leong Magnus Jahre K. Vissers MQ 12 57 0 12 Jan 2017
Hardware for Machine Learning: Challenges and Opportunities Vivienne Sze Yu-hsin Chen Joel S. Einer Amr Suleiman Zhengdong Zhang 19 77 0 22 Dec 2016
An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics Francesco Conti R. Schilling Pasquale Davide Schiavone A. Pullini D. Rossi ... Michael Gautschi Igor Loi Germain Haugou Stefan Mangard Luca Benini 13 117 0 18 Dec 2016
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference Yaman Umuroglu Nicholas J. Fraser Giulio Gambardella Michaela Blott Philip H. W. Leong Magnus Jahre K. Vissers MQ 33 977 0 01 Dec 2016
SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing Ao Ren Ji Li Zhe Li Caiwen Ding Xuehai Qian Qinru Qiu Bo Yuan Yanzhi Wang 16 194 0 18 Nov 2016
Computationally Efficient Target Classification in Multispectral Image Data with Deep Neural Networks Lukas Cavigelli Dominic Bernath Michele Magno Luca Benini 22 21 0 09 Nov 2016
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El-Yaniv Yoshua Bengio MQ 37 1,842 0 22 Sep 2016