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 / 73 papers shown

Title
Compact and Efficient Neural Networks for Image Recognition Based on Learned 2D Separable Transform Maxim Vashkevich Egor Krivalcevich 19 0 0 10 May 2025
Dynamic Tsetlin Machine Accelerators for On-Chip Training at the Edge using FPGAs Gang Mao Tousif Rahman Sidharth Maheshwari Bob Pattison Zhuang Shao R. Shafik Alex Yakovlev 29 0 0 28 Apr 2025
nanoML for Human Activity Recognition Alan T. L. Bacellar Mugdha P. Jadhao Shashank Nag P. Lima F. M. G. França L. John BDL 24 0 0 13 Feb 2025
Learning Interpretable Differentiable Logic Networks Chang Yue N. Jha NAI AI4CE 29 0 0 04 Jul 2024
NeuraLUT: Hiding Neural Network Density in Boolean Synthesizable Functions Marta Andronic G. Constantinides 21 5 0 29 Feb 2024
Quantised Neural Network Accelerators for Low-Power IDS in Automotive Networks Shashwat Khandelwal Anneliese Walsh Shanker Shreejith 21 2 0 19 Jan 2024
A Lightweight FPGA-based IDS-ECU Architecture for Automotive CAN Shashwat Khandelwal Shanker Shreejith 9 13 0 19 Jan 2024
Exploration of Activation Fault Reliability in Quantized Systolic Array-Based DNN Accelerators Mahdi Taheri N. Cherezova M. S. Ansari M. Jenihhin A. Mahani Masoud Daneshtalab J. Raik 21 12 0 17 Jan 2024
When Side-Channel Attacks Break the Black-Box Property of Embedded Artificial Intelligence Benoît Coqueret Mathieu Carbone Olivier Sentieys Gabriel Zaid 50 2 0 23 Nov 2023
Shedding the Bits: Pushing the Boundaries of Quantization with Minifloats on FPGAs Shivam Aggarwal Hans Jakob Damsgaard Alessandro Pappalardo Giuseppe Franco Thomas B. Preußer Michaela Blott Tulika Mitra MQ 19 5 0 21 Nov 2023
Quantization-aware Neural Architectural Search for Intrusion Detection R. Acharya Laurens Le Jeune N. Mentens F. Ganji Domenic Forte 6 0 0 07 Nov 2023
A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks Mohammad Hasan Ahmadilivani Mahdi Taheri J. Raik Masoud Daneshtalab M. Jenihhin 35 25 0 09 May 2023
DeepFire2: A Convolutional Spiking Neural Network Accelerator on FPGAs M. Aung Daniel Gerlinghoff Chuping Qu Liwei Yang Tian Huang Rick Siow Mong Goh Tao Luo Weng-Fai Wong 16 9 0 09 May 2023
End-to-end codesign of Hessian-aware quantized neural networks for FPGAs and ASICs Javier Campos Zhen Dong Javier Mauricio Duarte A. Gholami Michael W. Mahoney Jovan Mitrevski Nhan Tran MQ 24 3 0 13 Apr 2023
A Hybrid Approach combining ANN-based and Conventional Demapping in Communication for Efficient FPGA-Implementation Jonas Ney Bilal Hammoud Norbert Wehn 6 2 0 11 Apr 2023
Fixflow: A Framework to Evaluate Fixed-point Arithmetic in Light-Weight CNN Inference Farhad Taheri Siavash Bayat Sarmadi H. Mosanaei-Boorani Reza Taheri MQ 18 1 0 19 Feb 2023
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 15 1 0 15 Jan 2023
LPYOLO: Low Precision YOLO for Face Detection on FPGA Bestami Günay S. B. Okcu H. Ş. Bilge CVBM 11 10 0 21 Jul 2022
Towards real-time and energy efficient Siamese tracking -- a hardware-software approach Dominika Przewlocka-Rus T. Kryjak 12 2 0 21 May 2022
Optimized Partitioning and Priority Assignment of Real-Time Applications on Heterogeneous Platforms with Hardware Acceleration Daniel Casini P. Pazzaglia Alessandro Biondi M. Natale 20 18 0 19 Apr 2022
Binary Neural Networks as a general-propose compute paradigm for on-device computer vision Guhong Nie Lirui Xiao Menglong Zhu Dongliang Chu Yue-Hong Shen Peng Li Kan Yang Li Du Bo Chen Dji Innovations Inc MQ 34 5 0 08 Feb 2022
Hardware-Efficient Deconvolution-Based GAN for Edge Computing A. Alhussain Mingjie Lin 38 5 0 18 Jan 2022
CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (tinyML) Acceleration on FPGAs Shvetank Prakash Tim Callahan Joseph R. Bushagour Colby R. Banbury Alan V. Green Pete Warden Tim Ansell Vijay Janapa Reddi 30 30 0 05 Jan 2022
SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference Jude Haris Perry Gibson José Cano Nicolas Bohm Agostini David Kaeli 36 19 0 01 Oct 2021
Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA Y. Kadokawa Yoshihisa Tsurumine Takamitsu Matsubara OffRL 27 4 0 10 Sep 2021
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks Anuj Dubey Rosario Cammarota Vikram B. Suresh Aydin Aysu AAML 30 31 0 01 Sep 2021
ROBIN: A Robust Optical Binary Neural Network Accelerator Febin P. Sunny Asif Mirza Mahdi Nikdast S. Pasricha MQ 15 35 0 12 Jul 2021
HALF: Holistic Auto Machine Learning for FPGAs Jonas Ney D. Loroch Vladimir Rybalkin Nicolas Weber Jens Krüger Norbert Wehn 13 9 0 28 Jun 2021
3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low BitwidthQuantization, and Ultra-Low Latency Acceleration Yao Chen Cole Hawkins Kaiqi Zhang Zheng-Wei Zhang Cong Hao 18 8 0 11 May 2021
"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization Tianlong Chen Zhenyu (Allen) Zhang Xu Ouyang Zechun Liu Zhiqiang Shen Zhangyang Wang MQ 35 36 0 16 Apr 2021
Exploration of Hardware Acceleration Methods for an XNOR Traffic Signs Classifier Dominika Przewlocka-Rus M. Kowalczyk T. Kryjak 11 0 0 06 Apr 2021
A Configurable BNN ASIC using a Network of Programmable Threshold Logic Standard Cells Ankit Wagle S. Khatri S. Vrudhula 6 8 0 04 Apr 2021
Training Multi-bit Quantized and Binarized Networks with A Learnable Symmetric Quantizer Phuoc Pham J. Abraham Jaeyong Chung MQ 33 11 0 01 Apr 2021
Charged particle tracking via edge-classifying interaction networks G. Dezoort S. Thais Javier Mauricio Duarte Vesal Razavimaleki M. Atkinson I. Ojalvo Mark S. Neubauer P. Elmer 25 46 0 30 Mar 2021
unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation Stylianos I. Venieris Javier Fernandez-Marques Nicholas D. Lane 22 11 0 09 Mar 2021
hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices F. Fahim B. Hawks C. Herwig J. Hirschauer S. Jindariani ... J. Ngadiuba Miaoyuan Liu Duc Hoang E. Kreinar Zhenbin Wu 22 129 0 09 Mar 2021
Enabling Binary Neural Network Training on the Edge Erwei Wang James J. Davis Daniele Moro Piotr Zielinski Jia Jie Lim C. Coelho S. Chatterjee P. Cheung G. Constantinides MQ 20 24 0 08 Feb 2021
Benchmarking Quantized Neural Networks on FPGAs with FINN Quentin Ducasse Pascal Cotret Loïc Lagadec Rob Stewart MQ 17 13 0 02 Feb 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 130 673 0 24 Jan 2021
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
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
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
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 24 175 0 15 Jun 2020
A Survey on Impact of Transient Faults on BNN Inference Accelerators N. Khoshavi Connor Broyles Yu Bi 19 8 0 10 Apr 2020
High Bandwidth Memory on FPGAs: A Data Analytics Perspective Kaan Kara C. Hagleitner D. Diamantopoulos D. Syrivelis Gustavo Alonso 14 31 0 02 Apr 2020
Binary Neural Networks: A Survey Haotong Qin Ruihao Gong Xianglong Liu Xiao Bai Jingkuan Song N. Sebe MQ 50 457 0 31 Mar 2020
Evolutionary Bin Packing for Memory-Efficient Dataflow Inference Acceleration on FPGA M. Kroes L. Petrica S. Cotofana Michaela Blott 16 7 0 24 Mar 2020
CoopNet: Cooperative Convolutional Neural Network for Low-Power MCUs Luca Mocerino A. Calimera MQ 6 9 0 19 Nov 2019
LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference Erwei Wang James J. Davis P. Cheung G. 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 4 614 0 04 Oct 2019