FINN: A Framework for Fast, Scalable Binarized Neural Network Inference

1 December 2016

Papers citing "FINN: A Framework for Fast, Scalable Binarized Neural Network Inference"

50 / 222 papers shown

Title
Streaming Message Interface: High-Performance Distributed Memory Programming on Reconfigurable Hardware T. De Matteis Johannes de Fine Licht Jakub Beránek Torsten Hoefler 9 31 0 07 Sep 2019
A Novel Design of Adaptive and Hierarchical Convolutional Neural Networks using Partial Reconfiguration on FPGA Mohammad Farhadi Mehdi Ghasemi Yezhou Yang 16 27 0 05 Sep 2019
PULP-NN: Accelerating Quantized Neural Networks on Parallel Ultra-Low-Power RISC-V Processors Angelo Garofalo Manuele Rusci Francesco Conti D. Rossi Luca Benini MQ 11 134 0 29 Aug 2019
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations Bohan Zhuang Jing Liu Mingkui Tan Lingqiao Liu Ian Reid Chunhua Shen MQ 29 44 0 10 Aug 2019
A Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron SuperconductingTechnology R. Cai Ao Ren O. Chen Ning Liu Caiwen Ding Xuehai Qian Jie Han Wenhui Luo N. Yoshikawa Yanzhi Wang 16 38 0 22 Jul 2019
Non-Structured DNN Weight Pruning -- Is It Beneficial in Any Platform? Xiaolong Ma Sheng Lin Shaokai Ye Zhezhi He Linfeng Zhang ... Deliang Fan Xuehai Qian X. Lin Kaisheng Ma Yanzhi Wang MQ 27 92 0 03 Jul 2019
DeepShift: Towards Multiplication-Less Neural Networks Mostafa Elhoushi Zihao Chen F. Shafiq Ye Tian Joey Yiwei Li MQ 35 97 0 30 May 2019
Rethinking Arithmetic for Deep Neural Networks George A. Constantinides 29 4 0 07 May 2019
LUTNet: Rethinking Inference in FPGA Soft Logic Erwei Wang James J. Davis P. Cheung George A. Constantinides 16 61 0 01 Apr 2019
Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning (Technical Report) Zeke Wang Kaan Kara Hantian Zhang Gustavo Alonso O. Mutlu Ce Zhang 23 34 0 08 Mar 2019
Evolutionary Cell Aided Design for Neural Network Architectures Philip Colangelo Oren Segal Alexander Speicher M. Margala 6 3 0 06 Mar 2019
FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer Learning P. Whatmough Chuteng Zhou Patrick Hansen S. Venkataramanaiah Jae-sun Seo Matthew Mattina 15 57 0 27 Feb 2019
Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going Erwei Wang James J. Davis Ruizhe Zhao Ho-Cheung Ng Xinyu Niu Wayne Luk P. Cheung George A. Constantinides 24 59 0 21 Jan 2019
CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of DNNs Mohammad Samragh Mojan Javaheripi F. Koushanfar 30 11 0 17 Jan 2019
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review Ahmad Shawahna S. M. Sait A. El-Maleh 28 372 0 01 Jan 2019
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers Ao Ren Tianyun Zhang Shaokai Ye Jiayu Li Wenyao Xu Xuehai Qian X. Lin Yanzhi Wang MQ 34 161 0 31 Dec 2018
Efficient and Robust Machine Learning for Real-World Systems Franz Pernkopf Wolfgang Roth Matthias Zöhrer Lukas Pfeifenberger Günther Schindler Holger Froening Sebastian Tschiatschek Robert Peharz Matthew Mattina Zoubin Ghahramani OOD 27 1 0 05 Dec 2018
Efficient non-uniform quantizer for quantized neural network targeting reconfigurable hardware Natan Liss Chaim Baskin A. Mendelson A. Bronstein Raja Giryes MQ 19 5 0 27 Nov 2018
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation Bohan Zhuang Chunhua Shen Mingkui Tan Lingqiao Liu Ian Reid MQ 27 152 0 22 Nov 2018
Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs Yifan Yang Qijing Huang Bichen Wu Tianjun Zhang Liang Ma ... Michaela Blott Luciano Lavagno K. Vissers J. Wawrzynek Kurt Keutzer 21 113 0 21 Nov 2018
Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations: Column Combining Under Joint Optimization H. T. Kung Bradley McDanel S. Zhang 27 133 0 07 Nov 2018
Neural Network-Hardware Co-design for Scalable RRAM-based BNN Accelerators Yulhwa Kim Hyungjun Kim Jae-Joon Kim MQ 14 11 0 06 Nov 2018
Automating Generation of Low Precision Deep Learning Operators M. Cowan T. Moreau Tianqi Chen Luis Ceze MQ 39 13 0 25 Oct 2018
Combinatorial Attacks on Binarized Neural Networks Elias Boutros Khalil Amrita Gupta B. Dilkina AAML 49 40 0 08 Oct 2018
Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA Cheng Fu Shilin Zhu Hao Su Ching-En Lee Jishen Zhao MQ 22 31 0 04 Oct 2018
NICE: Noise Injection and Clamping Estimation for Neural Network Quantization Chaim Baskin Natan Liss Yoav Chai Evgenii Zheltonozhskii Eli Schwartz Raja Giryes A. Mendelson A. Bronstein MQ 11 60 0 29 Sep 2018
Throughput Optimizations for FPGA-based Deep Neural Network Inference Thorbjörn Posewsky Daniel Ziener 11 25 0 28 Sep 2018
Scalar Arithmetic Multiple Data: Customizable Precision for Deep Neural Networks Andrew Anderson David Gregg MQ 16 1 0 27 Sep 2018
Towards Efficient Convolutional Neural Network for Domain-Specific Applications on FPGA Ruizhe Zhao Ho-Cheung Ng Wayne Luk Xinyu Niu 22 34 0 04 Sep 2018
Design Flow of Accelerating Hybrid Extremely Low Bit-width Neural Network in Embedded FPGA Junsong Wang Qiuwen Lou Xiaofan Zhang Chao Zhu Yonghua Lin Deming Chen MQ 33 93 0 31 Jul 2018
FPGA-Based CNN Inference Accelerator Synthesized from Multi-Threaded C Software Jin Hee Kim Brett Grady Ruolong Lian J. Brothers J. Anderson 6 41 0 27 Jul 2018
NullaNet: Training Deep Neural Networks for Reduced-Memory-Access Inference M. Nazemi Ghasem Pasandi Massoud Pedram 20 20 0 23 Jul 2018
Accuracy to Throughput Trade-offs for Reduced Precision Neural Networks on Reconfigurable Logic Jiang Su Nicholas J. Fraser Giulio Gambardella Michaela Blott Gianluca Durelli David B. Thomas Philip H. W. Leong P. Cheung MQ 8 23 0 17 Jul 2018
FINN-L: Library Extensions and Design Trade-off Analysis for Variable Precision LSTM Networks on FPGAs Vladimir Rybalkin Alessandro Pappalardo M. M. Ghaffar Giulio Gambardella Norbert Wehn Michaela Blott 11 72 0 11 Jul 2018
Medusa: A Scalable Interconnect for Many-Port DNN Accelerators and Wide DRAM Controller Interfaces Yongming Shen Tianchu Ji M. Ferdman Peter Milder GNN 17 3 0 11 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 32 108 0 09 Jul 2018
SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks Julian Faraone Nicholas J. Fraser Michaela Blott Philip H. W. Leong MQ 30 133 0 01 Jul 2018
Scaling Neural Network Performance through Customized Hardware Architectures on Reconfigurable Logic Michaela Blott Thomas B. Preußer Nicholas J. Fraser Giulio Gambardella Kenneth O'Brien Yaman Umuroglu M. Leeser 9 9 0 26 Jun 2018
Inference of Quantized Neural Networks on Heterogeneous All-Programmable Devices Thomas B. Preußer Giulio Gambardella Nicholas J. Fraser Michaela Blott MQ 24 41 0 21 Jun 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 24 1 0 12 Jun 2018
Accelerating CNN inference on FPGAs: A Survey K. Abdelouahab Maxime Pelcat Jocelyn Serot F. Berry AI4CE 27 147 0 26 May 2018
Heterogeneous Bitwidth Binarization in Convolutional Neural Networks Josh Fromm Shwetak N. Patel Matthai Philipose MQ 11 27 0 25 May 2018
CascadeCNN: Pushing the performance limits of quantisation Alexandros Kouris Stylianos I. Venieris C. Bouganis MQ 30 24 0 22 May 2018
Transformations of High-Level Synthesis Codes for High-Performance Computing Johannes de Fine Licht Maciej Besta Simon Meierhans Torsten Hoefler 8 90 0 21 May 2018
Value-aware Quantization for Training and Inference of Neural Networks Eunhyeok Park S. Yoo Peter Vajda MQ 14 158 0 20 Apr 2018
B-DCGAN:Evaluation of Binarized DCGAN for FPGA Hideo Terada Hayaru Shouno AI4CE 19 3 0 29 Mar 2018
Synergy: A HW/SW Framework for High Throughput CNNs on Embedded Heterogeneous SoC G. Zhong Akshat Dubey Cheng Tan T. Mitra 23 69 0 28 Mar 2018
Local Binary Pattern Networks Jeng-Hau Lin Yunfan Yang Rajesh K. Gupta Z. Tu MQ 18 13 0 19 Mar 2018
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions Stylianos I. Venieris Alexandros Kouris C. Bouganis 16 184 0 15 Mar 2018
On the Universal Approximation Property and Equivalence of Stochastic Computing-based Neural Networks and Binary Neural Networks Yanzhi Wang Zheng Zhan Jiayu Li Jian Tang Bo Yuan Liang Zhao Wujie Wen Siyue Wang X. Lin 14 8 0 14 Mar 2018