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
Quantized Neural Networks for Low-Precision Accumulation with Guaranteed Overflow Avoidance Ian Colbert Alessandro Pappalardo Jakoba Petri-Koenig MQ 24 4 0 31 Jan 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 21 1 0 15 Jan 2023
Reaching the Edge of the Edge: Image Analysis in Space R. Bayer Julian Priest Pınar Tözün 38 5 0 12 Jan 2023
RUBICON: A Framework for Designing Efficient Deep Learning-Based Genomic Basecallers Gagandeep Singh M. Alser K. Denolf Can Firtina Alireza Khodamoradi Meryem Banu Cavlak Henk Corporaal O. Mutlu 46 12 0 06 Nov 2022
Deep Differentiable Logic Gate Networks Felix Petersen Christian Borgelt Hilde Kuehne Oliver Deussen AI4CE 22 23 0 15 Oct 2022
PalQuant: Accelerating High-precision Networks on Low-precision Accelerators Qinghao Hu Gang Li Qiman Wu Jian Cheng MQ 31 2 0 03 Aug 2022
Efficient Compilation and Mapping of Fixed Function Combinational Logic onto Digital Signal Processors Targeting Neural Network Inference and Utilizing High-level Synthesis Soheil Nazar Shahsavani A. Fayyazi M. Nazemi Massoud Pedram 13 2 0 30 Jul 2022
LPYOLO: Low Precision YOLO for Face Detection on FPGA Bestami Günay S. B. Okcu H. Ş. Bilge CVBM 18 10 0 21 Jul 2022
Sparsifying Binary Networks Riccardo Schiavone Maria A. Zuluaga MQ 19 0 0 11 Jul 2022
Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark H. Borras G. D. Guglielmo Javier Mauricio Duarte Nicolò Ghielmetti B. Hawks ... Nhan Tran Yaman Umuroglu Olivia Weng Aidan Yokuda Michaela Blott VLM MQ 32 14 0 23 Jun 2022
QONNX: Representing Arbitrary-Precision Quantized Neural Networks Alessandro Pappalardo Yaman Umuroglu Michaela Blott Jovan Mitrevski B. Hawks ... J. Muhizi Matthew Trahms Shih-Chieh Hsu Scott Hauck Javier Mauricio Duarte MQ 24 18 0 15 Jun 2022
Compilation and Optimizations for Efficient Machine Learning on Embedded Systems Xiaofan Zhang Yao Chen Cong Hao Sitao Huang Yuhong Li Deming Chen 39 1 0 06 Jun 2022
Towards real-time and energy efficient Siamese tracking -- a hardware-software approach Dominika Przewlocka-Rus T. Kryjak 17 2 0 21 May 2022
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 27 107 0 25 Apr 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
Fast Arbitrary Precision Floating Point on FPGA Johannes de Fine Licht C. Pattison A. Ziogas D. Simmons-Duffin Torsten Hoefler 17 3 0 13 Apr 2022
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges S. Thais P. Calafiura G. Chachamis G. Dezoort Javier Mauricio Duarte S. Ganguly Michael Kagan D. Murnane Mark S. Neubauer K. Terao PINN AI4CE 34 30 0 23 Mar 2022
A Brain-Inspired Low-Dimensional Computing Classifier for Inference on Tiny Devices Shijin Duan Xiaolin Xu Shaolei Ren 28 13 0 09 Mar 2022
Adversarial Detection without Model Information Abhishek Moitra Youngeun Kim Priyadarshini Panda AAML 25 1 0 09 Feb 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 38 31 0 05 Jan 2022
FLOWER: A comprehensive dataflow compiler for high-level synthesis Puya Amiri Arsene Pérard-Gayot Richard Membarth P. Slusallek Roland Leißa Sebastian Hack 12 5 0 14 Dec 2021
Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network Inference Erwei Wang James J. Davis G. Stavrou P. Cheung George A. Constantinides Mohamed S. Abdelfattah MQ 14 11 0 04 Dec 2021
Information Theoretic Representation Distillation Roy Miles Adrian Lopez-Rodriguez K. Mikolajczyk MQ 13 21 0 01 Dec 2021
E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks with Emerging Neural Encoding on FPGAs Daniel Gerlinghoff Zhehui Wang Xiaozhe Gu Rick Siow Mong Goh Tao Luo 11 22 0 19 Nov 2021
Applications and Techniques for Fast Machine Learning in Science A. Deiana Nhan Tran Joshua C. Agar Michaela Blott G. D. Guglielmo ... Ashish Sharma S. Summers Pietro Vischia J. Vlimant Olivia Weng 14 71 0 25 Oct 2021
Machine Learning for the Control and Monitoring of Electric Machine Drives: Advances and Trends Shen Zhang Oliver Wallscheid Mario Porrmann 18 35 0 11 Oct 2021
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 44 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 37 4 0 10 Sep 2021
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks Anuj Dubey Rosario Cammarota Vikram B. Suresh Aydin Aysu AAML 33 31 0 01 Sep 2021
ROBIN: A Robust Optical Binary Neural Network Accelerator Febin P. Sunny Asif Mirza Mahdi Nikdast S. Pasricha MQ 22 35 0 12 Jul 2021
HALF: Holistic Auto Machine Learning for FPGAs Jonas Ney D. Loroch Vladimir Rybalkin Nicolas Weber Jens Krüger Norbert Wehn 21 9 0 28 Jun 2021
How to Reach Real-Time AI on Consumer Devices? Solutions for Programmable and Custom Architectures Stylianos I. Venieris Ioannis Panopoulos Ilias Leontiadis I. Venieris 30 6 0 21 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 26 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 43 36 0 16 Apr 2021
Exploration of Hardware Acceleration Methods for an XNOR Traffic Signs Classifier Dominika Przewlocka-Rus M. Kowalczyk T. Kryjak 16 0 0 06 Apr 2021
A Configurable BNN ASIC using a Network of Programmable Threshold Logic Standard Cells Ankit Wagle S. Khatri S. Vrudhula 16 8 0 04 Apr 2021
Training Multi-bit Quantized and Binarized Networks with A Learnable Symmetric Quantizer Phuoc Pham J. Abraham Jaeyong Chung MQ 37 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
BCNN: Binary Complex Neural Network Yanfei Li Tong Geng Ang Li Huimin Yu MQ 22 8 0 28 Mar 2021
unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation Stylianos I. Venieris Javier Fernandez-Marques Nicholas D. Lane 24 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 30 129 0 09 Mar 2021
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search Niv Nayman Y. Aflalo Asaf Noy Lihi Zelnik-Manor 19 31 0 23 Feb 2021
Ps and Qs: Quantization-aware pruning for efficient low latency neural network inference B. Hawks Javier Mauricio Duarte Nicholas J. Fraser Alessandro Pappalardo N. Tran Yaman Umuroglu MQ 8 51 0 22 Feb 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 George A. Constantinides MQ 20 24 0 08 Feb 2021
BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge Devices Nael Fasfous M. Vemparala Alexander Frickenstein Lukas Frickenstein W. Stechele CVBM 10 35 0 06 Feb 2021
Hardware-efficient Residual Networks for FPGAs Olivia Weng Alireza Khodamoradi Ryan Kastner 11 3 0 02 Feb 2021
Benchmarking Quantized Neural Networks on FPGAs with FINN Quentin Ducasse Pascal Cotret Loïc Lagadec Rob Stewart MQ 19 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 150 675 0 24 Jan 2021