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
MinConvNets: A new class of multiplication-less Neural Networks Xuecan Yang S. Chaudhuri Laurence Likforman L. Naviner 14 0 0 23 Jan 2021
Fast convolutional neural networks on FPGAs with hls4ml T. Aarrestad Vladimir Loncar Nicolò Ghielmetti M. Pierini S. Summers ... N. Tran Miaoyuan Liu E. Kreinar Zhenbin Wu Duc Hoang 21 107 0 13 Jan 2021
A Framework for Fast Scalable BNN Inference using Googlenet and Transfer Learning E. Karthik 12 2 0 04 Jan 2021
FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations Yichi Zhang Junhao Pan Xinheng Liu Hongzheng Chen Deming Chen Zhiru Zhang MQ 41 87 0 22 Dec 2020
Exposing the Robustness and Vulnerability of Hybrid 8T-6T SRAM Memory Architectures to Adversarial Attacks in Deep Neural Networks Abhishek Moitra Priyadarshini Panda AAML 19 2 0 26 Nov 2020
Bringing AI To Edge: From Deep Learning's Perspective Di Liu Hao Kong Xiangzhong Luo Weichen Liu Ravi Subramaniam 52 116 0 25 Nov 2020
FAT: Training Neural Networks for Reliable Inference Under Hardware Faults Ussama Zahid Giulio Gambardella Nicholas J. Fraser Michaela Blott K. Vissers 16 44 0 11 Nov 2020
High-Performance Spectral Element Methods on Field-Programmable Gate Arrays Martin Karp Artur Podobas Niclas Jansson Tobias Kenter Christian Plessl P. Schlatter Stefano Markidis 11 15 0 26 Oct 2020
A Survey on Deep Neural Network Compression: Challenges, Overview, and Solutions Rahul Mishra Hari Prabhat Gupta Tanima Dutta 16 88 0 05 Oct 2020
GECKO: Reconciling Privacy, Accuracy and Efficiency in Embedded Deep Learning Vasisht Duddu A. Boutet Virat Shejwalkar GNN 21 4 0 02 Oct 2020
Binary Neural Networks for Memory-Efficient and Effective Visual Place Recognition in Changing Environments Bruno Ferrarini Michael Milford Klaus D. McDonald-Maier Shoaib Ehsan MQ 25 22 0 01 Oct 2020
An FPGA Accelerated Method for Training Feed-forward Neural Networks Using Alternating Direction Method of Multipliers and LSMR Seyedeh Niusha Alavi Foumani Ce Guo Wayne Luk 22 3 0 06 Sep 2020
Running Neural Networks on the NIC G. Siracusano Salvator Galea D. Sanvito Mohammad Malekzadeh Hamed Haddadi G. Antichi R. Bifulco 16 25 0 04 Sep 2020
Layer-specific Optimization for Mixed Data Flow with Mixed Precision in FPGA Design for CNN-based Object Detectors Duy-Thanh Nguyen Hyun Kim Hyuk-Jae Lee MQ 25 59 0 03 Sep 2020
FATNN: Fast and Accurate Ternary Neural Networks Peng Chen Bohan Zhuang Chunhua Shen MQ 6 15 0 12 Aug 2020
Resource-Efficient Speech Mask Estimation for Multi-Channel Speech Enhancement Lukas Pfeifenberger Matthias Zöhrer Günther Schindler Wolfgang Roth Holger Fröning Franz Pernkopf 14 1 0 22 Jul 2020
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 19 9 0 17 Jul 2020
Accelerating Binarized Neural Networks via Bit-Tensor-Cores in Turing GPUs Ang Li Simon Su MQ 12 35 0 30 Jun 2020
BoMaNet: Boolean Masking of an Entire Neural Network Anuj Dubey Rosario Cammarota Aydin Aysu AAML 17 44 0 16 Jun 2020
Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors C. Coelho Aki Kuusela Shane Li Zhuang Hao T. Aarrestad Vladimir Loncar J. Ngadiuba M. Pierini Adrian Alan Pol S. Summers MQ 32 175 0 15 Jun 2020
Accelerating Deep Neuroevolution on Distributed FPGAs for Reinforcement Learning Problems Alexis Asseman Nicolas Antoine A. Ozcan 24 4 0 10 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 15 1 0 27 Apr 2020
HCM: Hardware-Aware Complexity Metric for Neural Network Architectures Alex Karbachevsky Chaim Baskin Evgenii Zheltonozhskii Yevgeny Yermolin F. Gabbay A. Bronstein A. Mendelson 27 11 0 19 Apr 2020
A Survey on Impact of Transient Faults on BNN Inference Accelerators N. Khoshavi Connor Broyles Yu Bi 19 8 0 10 Apr 2020
Entropy-Based Modeling for Estimating Soft Errors Impact on Binarized Neural Network Inference N. Khoshavi S. Sargolzaei A. Roohi Connor Broyles Yu Bi AAML 17 1 0 10 Apr 2020
Exposing Hardware Building Blocks to Machine Learning Frameworks Yash Akhauri 12 0 0 10 Apr 2020
LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications Yaman Umuroglu Yash Akhauri Nicholas J. Fraser Michaela Blott MQ 12 86 0 06 Apr 2020
CNN2Gate: Toward Designing a General Framework for Implementation of Convolutional Neural Networks on FPGA Alireza Ghaffari Yvon Savaria 14 9 0 06 Apr 2020
High Bandwidth Memory on FPGAs: A Data Analytics Perspective Kaan Kara C. Hagleitner D. Diamantopoulos D. Syrivelis Gustavo Alonso 24 31 0 02 Apr 2020
Binary Neural Networks: A Survey Haotong Qin Ruihao Gong Xianglong Liu Xiao Bai Jingkuan Song N. Sebe MQ 50 458 0 31 Mar 2020
Evolutionary Bin Packing for Memory-Efficient Dataflow Inference Acceleration on FPGA M. Kroes L. Petrica S. Cotofana Michaela Blott 21 7 0 24 Mar 2020
Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML G. D. Guglielmo Javier Mauricio Duarte Philip C. Harris Duc Hoang S. Jindariani ... D. Rankin Sheila Sagear S. Summers N. Tran Zhenbin Wu MQ 24 87 0 11 Mar 2020
LUXOR: An FPGA Logic Cell Architecture for Efficient Compressor Tree Implementations Seyedramin Rasoulinezhad Siddhartha Hao Zhou Lingli Wang David Boland Philip H. W. Leong 9 8 0 06 Mar 2020
MajorityNets: BNNs Utilising Approximate Popcount for Improved Efficiency Seyedramin Rasoulinezhad Sean Fox Hao Zhou Lingli Wang David Boland Philip H. W. Leong 9 4 0 27 Feb 2020
Making Logic Learnable With Neural Networks Tobias Brudermueller Dennis L. Shung A. Stanley Johannes Stegmaier Smita Krishnaswamy NAI 10 2 0 10 Feb 2020
SQWA: Stochastic Quantized Weight Averaging for Improving the Generalization Capability of Low-Precision Deep Neural Networks Sungho Shin Yoonho Boo Wonyong Sung MQ 25 3 0 02 Feb 2020
Resource-Efficient Neural Networks for Embedded Systems Wolfgang Roth Günther Schindler Lukas Pfeifenberger Robert Peharz Sebastian Tschiatschek Holger Fröning Franz Pernkopf Zoubin Ghahramani 34 47 0 07 Jan 2020
TentacleNet: A Pseudo-Ensemble Template for Accurate Binary Convolutional Neural Networks Luca Mocerino A. Calimera MQ 8 4 0 20 Dec 2019
Efficient Error-Tolerant Quantized Neural Network Accelerators Giulio Gambardella Johannes Kappauf Michaela Blott Christoph Doehring M. Kumm P. Zipf K. Vissers AAML 4 28 0 16 Dec 2019
QubitHD: A Stochastic Acceleration Method for HD Computing-Based Machine Learning Samuel Bosch Alexander Sanchez de la Cerda Mohsen Imani Tajana Simunic G. Micheli 13 8 0 27 Nov 2019
CoopNet: Cooperative Convolutional Neural Network for Low-Power MCUs Luca Mocerino A. Calimera MQ 13 9 0 19 Nov 2019
AddNet: Deep Neural Networks Using FPGA-Optimized Multipliers Julian Faraone M. Kumm M. Hardieck P. Zipf Xueyuan Liu David Boland Philip H. W. Leong MQ 6 45 0 19 Nov 2019
MaskedNet: The First Hardware Inference Engine Aiming Power Side-Channel Protection Anuj Dubey Rosario Cammarota Aydin Aysu AAML 16 78 0 29 Oct 2019
LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference Erwei Wang James J. Davis P. Cheung George A. Constantinides MQ 9 41 0 24 Oct 2019
Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing En Li Liekang Zeng Zhi Zhou Xu Chen 4 615 0 04 Oct 2019
Concept Drift Detection and Adaptation with Weak Supervision on Streaming Unlabeled Data Abhijit Suprem AI4TS 13 3 0 02 Oct 2019
REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs Caiwen Ding Shuo Wang Ning Liu Kaidi Xu Yanzhi Wang Yun Liang MQ 16 89 0 29 Sep 2019
Accurate and Compact Convolutional Neural Networks with Trained Binarization Zhe Xu R. Cheung MQ 27 54 0 25 Sep 2019
Structured Binary Neural Networks for Image Recognition Bohan Zhuang Chunhua Shen Mingkui Tan Peng Chen Lingqiao Liu Ian Reid MQ 22 17 0 22 Sep 2019
Unrolling Ternary Neural Networks Stephen Tridgell M. Kumm M. Hardieck David Boland Duncan J. M. Moss P. Zipf Philip H. W. Leong 24 26 0 09 Sep 2019