Hardware/Software Co-Exploration of Neural Architectures

6 July 2019

Papers citing "Hardware/Software Co-Exploration of Neural Architectures"

39 / 39 papers shown

Title
RBFleX-NAS: Training-Free Neural Architecture Search Using Radial Basis Function Kernel and Hyperparameter Detection Tomomasa Yamasaki Zhehui Wang Tao Luo Niangjun Chen Bo Wang 32 0 0 26 Mar 2025
Combining Neural Architecture Search and Automatic Code Optimization: A Survey Inas Bachiri Hadjer Benmeziane Smail Niar Riyadh Baghdadi Hamza Ouarnoughi Abdelkrime Aries 40 0 0 07 Aug 2024
TinyFormer: Efficient Transformer Design and Deployment on Tiny Devices Jianlei Yang Jiacheng Liao Fanding Lei Meichen Liu Junyi Chen Lingkun Long Han Wan Bei Yu Weisheng Zhao MoE 35 2 0 03 Nov 2023
TinyML Design Contest for Life-Threatening Ventricular Arrhythmia Detection Zhenge Jia Dawei Li Cong Liu Li-Shih Liao Xiaowei Xu Lichuan Ping Yiyu Shi 21 8 0 09 May 2023
On-Device Unsupervised Image Segmentation Junhuan Yang Yi Sheng Yu-zhao Zhang Weiwen Jiang Lei Yang 28 12 0 24 Feb 2023
XploreNAS: Explore Adversarially Robust & Hardware-efficient Neural Architectures for Non-ideal Xbars Abhiroop Bhattacharjee Abhishek Moitra Priyadarshini Panda AAML 23 1 0 15 Feb 2023
CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework Shikhar Tuli Chia-Hao Li Ritvik Sharma N. Jha 36 13 0 07 Dec 2022
MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention Wenyuan Zeng Meng Li Wenjie Xiong Tong Tong Wen-jie Lu Jin Tan Runsheng Wang Ru Huang 24 20 0 25 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 44 3 0 20 Sep 2022
Hardware Accelerator and Neural Network Co-Optimization for Ultra-Low-Power Audio Processing Devices Christoph Gerum Adrian Frischknecht T. Hald Paul Palomero Bernardo Konstantin Lubeck Oliver Bringmann 45 10 0 08 Sep 2022
RT-DNAS: Real-time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation Qing Lu Xiaowei Xu Shunjie Dong Callie Hao Lei Yang Cheng Zhuo Yiyu Shi MedIm 24 4 0 08 Jun 2022
Machine Learning for Microcontroller-Class Hardware: A Review Swapnil Sayan Saha S. Sandha Mani B. Srivastava 27 118 0 29 May 2022
A Semi-Decoupled Approach to Fast and Optimal Hardware-Software Co-Design of Neural Accelerators Bingqian Lu Zheyu Yan Yiyu Shi Shaolei Ren 23 2 0 25 Mar 2022
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 25 26 0 16 Dec 2021
BSC: Block-based Stochastic Computing to Enable Accurate and Efficient TinyML Yuhong Song E. Sha Qingfeng Zhuge Rui-Xue Xu Yong-Zhong Zhang Bingzhe Li Lei Yang 19 3 0 12 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
RADARS: Memory Efficient Reinforcement Learning Aided Differentiable Neural Architecture Search Zheyu Yan Weiwen Jiang X. S. Hu Yiyu Shi 53 10 0 13 Sep 2021
Uncertainty Modeling of Emerging Device-based Computing-in-Memory Neural Accelerators with Application to Neural Architecture Search Zheyu Yan Da-Cheng Juan X. S. Hu Yiyu Shi 38 24 0 06 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
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
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators Yonggan Fu Yongan Zhang Yang Zhang David D. Cox Yingyan Lin MQ 55 17 0 11 Jun 2021
Enabling On-Device Self-Supervised Contrastive Learning With Selective Data Contrast Yawen Wu Zhepeng Wang Dewen Zeng Yiyu Shi Jingtong Hu SSL 41 27 0 07 Jun 2021
NAAS: Neural Accelerator Architecture Search Yujun Lin Mengtian Yang Song Han 34 59 0 27 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
Rethinking Co-design of Neural Architectures and Hardware Accelerators Yanqi Zhou Xuanyi Dong Berkin Akin Mingxing Tan Daiyi Peng Tianjian Meng Amir Yazdanbakhsh Da Huang Ravi Narayanaswami James Laudon 63 26 0 17 Feb 2021
Dancing along Battery: Enabling Transformer with Run-time Reconfigurability on Mobile Devices Yuhong Song Weiwen Jiang Bingbing Li Panjie Qi Qingfeng Zhuge E. Sha Sakyasingha Dasgupta Yiyu Shi Caiwen Ding 18 18 0 12 Feb 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
Enabling On-Device CNN Training by Self-Supervised Instance Filtering and Error Map Pruning Yawen Wu Zhepeng Wang Yiyu Shi Jiaxi Hu 24 44 0 07 Jul 2020
A Co-Design Framework of Neural Networks and Quantum Circuits Towards Quantum Advantage Weiwen Jiang Jinjun Xiong Yiyu Shi 12 76 0 26 Jun 2020
ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition S. Bian Tianchen Wang Masayuki Hiromoto Yiyu Shi Takashi Sato FedML 19 30 0 11 Mar 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 32 114 0 10 Feb 2020
NASS: Optimizing Secure Inference via Neural Architecture Search S. Bian Weiwen Jiang Qing Lu Yiyu Shi Takashi Sato 21 25 0 30 Jan 2020
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
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,327 0 05 Nov 2016