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HiHGNN: Accelerating HGNNs Through Parallelism and Data Reusability Exploitation 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2024, 卷号: 35, 期号: 7, 页码: 1122-1138
作者:  Xue, Runzhen;  Han, Dengke;  Yan, Mingyu;  Zou, Mo;  Yang, Xiaocheng;  Wang, Duo;  Li, Wenming;  Tang, Zhimin;  Kim, John;  Ye, Xiaochun;  Fan, Dongrui
收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06
Semantics  Parallel processing  Graph neural networks  Vectors  Graphics processing units  Fuses  Hardware  GNN  GNN accelerator  graph neural network  HGNN  HGNN accelerator  heterogeneous graph neural network  
MoDSE: A High-Accurate Multiobjective Design Space Exploration Framework for CPU Microarchitectures 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 5, 页码: 1525-1537
作者:  Wang, Duo;  Yan, Mingyu;  Teng, Yihan;  Han, Dengke;  Liu, Xin;  Li, Wenming;  Ye, Xiaochun;  Fan, Dongrui
收藏  |  浏览/下载：3/0  |  提交时间：2024/12/06
Pareto optimization  Predictive models  Measurement  Space exploration  Prediction algorithms  Central Processing Unit  Microarchitecture  CPU microarchitecture  design space exploration (DSE)  multiobjective exploration  Pareto hypervolume  prediction model  
Improving Utilization of Dataflow Unit for Multi-Batch Processing 期刊论文
ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, 2024, 卷号: 21, 期号: 1, 页码: 26
作者:  Fan, Zhihua;  Li, Wenming;  Wang, Zhen;  Yang, Yu;  Ye, Xiaochun;  Fan, Dongrui;  Sun, Ninghui;  An, Xuejun
收藏  |  浏览/下载：12/0  |  提交时间：2024/05/20
Utilization  network-on-chip  decoupled architecture  batch processing  
Accelerating Convolutional Neural Networks by Exploiting the Sparsity of Output Activation 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2023, 卷号: 34, 期号: 12, 页码: 3253-3265
作者:  Fan, Zhihua;  Li, Wenming;  Wang, Zhen;  Liu, Tianyu;  Wu, Haibin;  Liu, Yanhuan;  Wu, Meng;  Wu, Xinxin;  Ye, Xiaochun;  Fan, Dongrui;  Sun, Ninghui;  An, Xuejun
收藏  |  浏览/下载：11/0  |  提交时间：2024/05/20
Accelerator  output activation  prediction  sparse convolutional neural network  
Characterizing and Understanding Defense Methods for GNNs on GPUs 期刊论文
IEEE COMPUTER ARCHITECTURE LETTERS, 2023, 卷号: 22, 期号: 2, 页码: 137-140
作者:  Wu, Meng;  Yan, Mingyu;  Yang, Xiaocheng;  Li, Wenming;  Zhang, Zhimin;  Ye, Xiaochun;  Fan, Dongrui
收藏  |  浏览/下载：17/0  |  提交时间：2023/12/04
Kernel  Purification  Estimation  Graphics processing units  Perturbation methods  Electric breakdown  Training  Graph neural networks  defense  execution semantic  execution pattern  overhead  
Multi-Node Acceleration for Large-Scale GCNs 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2022, 卷号: 71, 期号: 12, 页码: 3140-3152
作者:  Sun, Gongjian;  Yan, Mingyu;  Wang, Duo;  Li, Han;  Li, Wenming;  Ye, Xiaochun;  Fan, Dongrui;  Xie, Yuan
收藏  |  浏览/下载：36/0  |  提交时间：2023/07/12
Deep learning  graph neural network  hardware accelerator  multi-node system  communication optimization  
JBNN: A Hardware Design for Binarized Neural Networks Using Single-Flux-Quantum Circuits 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2022, 卷号: 71, 期号: 12, 页码: 3203-3214
作者:  Fu, Rongliang;  Huang, Junying;  Wu, Haibin;  Ye, Xiaochun;  Fan, Dongrui;  Ho, Tsung-Yi
收藏  |  浏览/下载：23/0  |  提交时间：2023/07/12
Superconducting  single-flux-quantum  accelerator  binarized neural network  
A synergistic reinforcement learning-based framework design in driving automation 期刊论文
COMPUTERS & ELECTRICAL ENGINEERING, 2022, 卷号: 101, 页码: 15
作者:  Qi, Yuqiong;  Hu, Yang;  Wu, Haibin;  Li, Shen;  Ye, Xiaochun;  Fan, Dongrui
收藏  |  浏览/下载：35/0  |  提交时间：2022/12/07
Autonomous Driving  Heterogeneous Multicore AI Accelerator  Criteria  Reinforcement Learning  Scheduling  
Characterizing and Understanding HGNNs on GPUs 期刊论文
IEEE COMPUTER ARCHITECTURE LETTERS, 2022, 卷号: 21, 期号: 2, 页码: 69-72
作者:  Yan, Mingyu;  Zou, Mo;  Yang, Xiaocheng;  Li, Wenming;  Ye, Xiaochun;  Fan, Dongrui;  Xie, Yuan
收藏  |  浏览/下载：35/0  |  提交时间：2022/12/07
Kernel  Semantics  Aggregates  Mercury (metals)  Motion pictures  Graphics processing units  Electric breakdown  Heterogeneous graph neural networks  GNNs  characterization  execution semantic  execution pattern  
Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 卷号: 9, 期号: 2, 页码: 205-234
作者:  Liu, Xin;  Yan, Mingyu;  Deng, Lei;  Li, Guoqi;  Ye, Xiaochun;  Fan, Dongrui
收藏  |  浏览/下载：38/0  |  提交时间：2022/06/21
Efficient training  graph convolutional networks (GCNs)  graph neural networks (GNNs)  sampling method