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中国科学院计算技术研究所机构知识库
Institute of Computing Technology, Chinese Academy IR
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浏览/检索结果:
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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
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
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
Rubik: A Hierarchical Architecture for Efficient Graph Neural Network Training
期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 4, 页码: 936-949
作者:
Chen, Xiaobing
;
Wang, Yuke
;
Xie, Xinfeng
;
Hu, Xing
;
Basak, Abanti
;
Liang, Ling
;
Yan, Mingyu
;
Deng, Lei
;
Ding, Yufei
;
Du, Zidong
;
Xie, Yuan
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2022/12/07
Deep learning accelerator
graph neural network (GNN)
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
BSR-TC: Adaptively Sampling for Accurate Triangle Counting over Evolving Graph Streams
期刊论文
INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING, 2021, 卷号: 31, 期号: 11N12, 页码: 1561-1581
作者:
Xuan, Wei
;
Cao, Huawei
;
Yan, Mingyu
;
Tang, Zhimin
;
Ye, Xiaochun
;
Fan, Dongrui
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2022/12/07
Evolving graph streams
triangle counting
bounded sampling ratio
Hardware Acceleration for GCNs via Bidirectional Fusion
期刊论文
IEEE COMPUTER ARCHITECTURE LETTERS, 2021, 卷号: 20, 期号: 1, 页码: 4
作者:
Li, Han
;
Yan, Mingyu
;
Yang, Xiaocheng
;
Deng, Lei
;
Li, Wenming
;
Ye, Xiaochun
;
Fan, Dongrui
;
Xie, Yuan
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2021/12/01
Random access memory
Computational modeling
Analytical models
Hardware
Engines
Computer architecture
Transforms
Graph convolutional neural networks
hardware accelerator
bidirectional execution
inter-phase fusion
Characterizing and Understanding GCNs on GPU
期刊论文
IEEE COMPUTER ARCHITECTURE LETTERS, 2020, 卷号: 19, 期号: 1, 页码: 22-25
作者:
Yan, Mingyu
;
Chen, Zhaodong
;
Deng, Lei
;
Ye, Xiaochun
;
Zhang, Zhimin
;
Fan, Dongrui
;
Xie, Yuan
收藏
  |  
浏览/下载:56/0
  |  
提交时间:2020/12/10
Graph convolutional neural networks
characterization
execution pattern
GPU