Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions

15 March 2018

Papers citing "Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions"

18 / 18 papers shown

Title
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
Mixed-TD: Efficient Neural Network Accelerator with Layer-Specific Tensor Decomposition Zhewen Yu C. Bouganis 19 0 0 08 Jun 2023
Virtual Screening on FPGA: Performance and Energy versus Effort T. Aa Tom Haber Thomas J. Ashby Roel Wuyts Wilfried Verachtert 11 0 0 19 Oct 2022
Multiplier with Reduced Activities and Minimized Interconnect for Inner Product Arrays Muhammad Usman Jeong-A Lee M. Ercegovac 8 3 0 11 Apr 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
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
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
Semantics for Robotic Mapping, Perception and Interaction: A Survey Sourav Garg Niko Sünderhauf Feras Dayoub D. Morrison Akansel Cosgun ... Tat-Jun Chin Ian Reid Stephen Gould Peter Corke Michael Milford 22 115 0 02 Jan 2021
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights Shail Dave Riyadh Baghdadi Tony Nowatzki Sasikanth Avancha Aviral Shrivastava Baoxin Li 46 81 0 02 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
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
VarGNet: Variable Group Convolutional Neural Network for Efficient Embedded Computing Qian Zhang Jianjun Li Meng Yao Liangchen Song Helong Zhou Zhichao Li Wenming Meng Xuezhi Zhang Guoli Wang 16 22 0 12 Jul 2019
Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars Alexandros Kouris Stylianos I. Venieris Michail Rizakis C. Bouganis AI4TS 14 12 0 02 May 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 13 57 0 27 Feb 2019
DNNVM : End-to-End Compiler Leveraging Heterogeneous Optimizations on FPGA-based CNN Accelerators Yu Xing Shuang Liang Lingzhi Sui Xijie Jia Jiantao Qiu Xin Liu Yushun Wang Yu Wang Yi Shan 22 68 0 20 Feb 2019
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 319 1,049 0 10 Feb 2017