FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge

9 April 2019

Jinjun Xiong

Papers citing "FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge"

32 / 32 papers shown

Title
Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous Models Y. Cai Ziqi Zhang Ding Li Yao Guo Xiangqun Chen 55 0 0 13 Mar 2025
A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU W. Zhao Qi Sun Yang Bai Wenbo Li Haisheng Zheng Bei Yu Martin D. F. Wong SupR 44 8 0 16 Mar 2023
TinyAD: Memory-efficient anomaly detection for time series data in Industrial IoT Yuting Sun Tong Chen Quoc Viet Hung Nguyen Hongzhi Yin 23 12 0 07 Mar 2023
Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-Exploration Deokki Hong Kanghyun Choi Hyeyoon Lee Joonsang Yu Noseong Park Youngsok Kim Jinho Lee 19 3 0 23 Jan 2023
Theta-Resonance: A Single-Step Reinforcement Learning Method for Design Space Exploration Masood S. Mortazavi Tiancheng Qin Ning Yan 25 2 0 03 Nov 2022
PolyMPCNet: Towards ReLU-free Neural Architecture Search in Two-party Computation Based Private Inference Hongwu Peng Shangli Zhou Yukui Luo Shijin Duan Nuo Xu ... Tong Geng Ang Li Wujie Wen Xiaolin Xu Caiwen Ding 35 3 0 20 Sep 2022
EF-Train: Enable Efficient On-device CNN Training on FPGA Through Data Reshaping for Online Adaptation or Personalization Yue Tang Xinyi Zhang Peipei Zhou Jingtong Hu 21 17 0 18 Feb 2022
EH-DNAS: End-to-End Hardware-aware Differentiable Neural Architecture Search Qian Jiang Xiaofan Zhang Deming Chen Minh Do Raymond A. Yeh 27 7 0 24 Nov 2021
RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms Yongan Zhang Anton Banta Yonggan Fu M. John A. Post M. Razavi Joseph R. Cavallaro B. Aazhang Yingyan Lin 26 4 0 04 Nov 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
G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency Yongan Zhang Haoran You Yonggan Fu Tong Geng Ang Li Yingyan Lin GNN 21 28 0 18 Sep 2021
A High Throughput Parallel Hash Table on FPGA using XOR-based Memory Ruizhi Zhang Sasindu Wijeratne Yang Yang S. Kuppannagari Viktor Prasanna 22 5 0 07 Aug 2021
A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning Yonggan Fu Yongan Zhang Chaojian Li Zhongzhi Yu Yingyan Lin 37 6 0 11 Jun 2021
NAAS: Neural Accelerator Architecture Search Yujun Lin Mengtian Yang Song Han 31 59 0 27 May 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
HAO: Hardware-aware neural Architecture Optimization for Efficient Inference Zhen Dong Yizhao Gao Qijing Huang J. Wawrzynek Hayden Kwok-Hay So Kurt Keutzer 19 34 0 26 Apr 2021
Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design Cong Hao Jordan Dotzel Jinjun Xiong Luca Benini Zhiru Zhang Deming Chen 58 34 0 25 Mar 2021
HSCoNAS: Hardware-Software Co-Design of Efficient DNNs via Neural Architecture Search Xiangzhong Luo Di Liu Shuo Huai Weichen Liu 20 6 0 11 Mar 2021
A Comprehensive Survey on Hardware-Aware Neural Architecture Search Hadjer Benmeziane Kaoutar El Maghraoui Hamza Ouarnoughi Smail Niar Martin Wistuba Naigang Wang 34 96 0 22 Jan 2021
DNA: Differentiable Network-Accelerator Co-Search Yongan Zhang Y. Fu Weiwen Jiang Chaojian Li Haoran You Meng Li Vikas Chandra Yingyan Lin 28 17 0 28 Oct 2020
Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search with Hot Start Weiwen Jiang Lei Yang Sakyasingha Dasgupta Jiaxi Hu Yiyu Shi 27 59 0 17 Jul 2020
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 59 82 0 02 Jul 2020
EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions Yuhong Li Cong Hao Xiaofan Zhang Xinheng Liu Yao Chen Jinjun Xiong Wen-mei W. Hwu Deming Chen 34 77 0 06 May 2020
DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures Yang Katie Zhao Chaojian Li Yue Wang Pengfei Xu Yongan Zhang Yingyan Lin 25 41 0 26 Feb 2020
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator Mohamed S. Abdelfattah L. Dudziak Thomas C. P. Chau Royson Lee Hyeji Kim Nicholas D. Lane 17 79 0 11 Feb 2020
Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks Lei Yang Zheyu Yan Meng Li Hyoukjun Kwon Liangzhen Lai T. Krishna Vikas Chandra Weiwen Jiang Yiyu Shi 23 114 0 10 Feb 2020
AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs Pengfei Xu Xiaofan Zhang Cong Hao Yang Katie Zhao Yongan Zhang Yue Wang Chaojian Li Zetong Guan Deming Chen Yingyan Lin 25 88 0 06 Jan 2020
NAIS: Neural Architecture and Implementation Search and its Applications in Autonomous Driving Cong Hao Yao Chen Xinheng Liu A. Sarwari Daryl Sew ... Dongdong Fu Jinjun Xiong Wen-mei W. Hwu Junli Gu Deming Chen 3DV 16 21 0 18 Nov 2019
2L-3W: 2-Level 3-Way Hardware-Software Co-Verification for the Mapping of Deep Learning Architecture (DLA) onto FPGA Boards Tolulope A. Odetola Katie M. Groves S. R. Hasan 29 5 0 14 Nov 2019
Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators Weiwen Jiang Qiuwen Lou Zheyu Yan Lei Yang Jiaxi Hu X. S. Hu Yiyu Shi 11 71 0 31 Oct 2019
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems Xiaofan Zhang Haoming Lu Cong Hao Jiachen Li Bowen Cheng ... Jinjun Xiong Thomas Huang Humphrey Shi Wen-mei W. Hwu Deming Chen 39 92 0 20 Sep 2019
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,327 0 05 Nov 2016