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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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Unified Dense Subgraph Detection: Fast Spectral Theory Based Algorithms
期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2024, 卷号: 36, 期号: 3, 页码: 1356-1370
作者:
Feng, Wenjie
;
Liu, Shenghua
;
Koutra, Danai
;
Cheng, Xueqi
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/05/20
Approximation algorithms
Image edge detection
Heuristic algorithms
Greedy algorithms
Optimization
Collaboration
Task analysis
Algorithm
anomaly detection
dense subgraph
graph spectral theory
large graph mining
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:6/0
  |  
提交时间:2024/05/20
Utilization
network-on-chip
decoupled architecture
batch processing
ACPR: Adaptive Classification Predictive Repair Method for Different Fault Scenarios
期刊论文
IEEE ACCESS, 2024, 卷号: 12, 页码: 4631-4641
作者:
Song, Ying
;
Zheng, Peisen
;
Tian, Yingai
;
Wang, Bo
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/05/20
Distributed storage system
data recovery
erasure coding
Sparse and Hierarchical Transformer for Survival Analysis on Whole Slide Images
期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2024, 卷号: 28, 期号: 1, 页码: 7-18
作者:
Yan, Rui
;
Lv, Zhilong
;
Yang, Zhidong
;
Lin, Senlin
;
Zheng, Chunhou
;
Zhang, Fa
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/05/20
Hierarchical representation
pathological image analysis
sparse transformer
survival analysis
Improving the Scalability of Distributed Network Emulations: An Algorithmic Perspective
期刊论文
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2023, 卷号: 20, 期号: 4, 页码: 4325-4339
作者:
Zhao, Huaiyi
;
Zhang, Xinyi
;
Wang, Yang
;
Diao, Zulong
;
Li, Yanbiao
;
Xie, Gaogang
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/05/20
Distributed network emulations
service assurance
performance evaluations
large-scale experimental platforms
optimization theories
multilevel algorithms
Differentiable matrix product states for simulating variational quantum computational chemistry
期刊论文
QUANTUM, 2023, 卷号: 7, 页码: 15
作者:
Guo, Chu
;
Fan, Yi
;
Xu, Zhiqian
;
Shang, Honghui
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/05/20
Accelerating k-Shape Time Series Clustering Algorithm Using GPU
期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2023, 卷号: 34, 期号: 10, 页码: 2718-2734
作者:
Wang, Xun
;
Song, Ruibao
;
Xiao, Junmin
;
Li, Tong
;
Li, Xueqi
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/12/04
Data space
time series analysis
time series clustering
GPU architecture
k-shape algorithm
Optimizing Training Efficiency and Cost of Hierarchical Federated Learning in Heterogeneous Mobile-Edge Cloud Computing
期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 卷号: 42, 期号: 5, 页码: 1518-1531
作者:
Cui, Yangguang
;
Cao, Kun
;
Zhou, Junlong
;
Wei, Tongquan
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/12/04
Training
Servers
Cloud computing
Delays
Costs
Computational modeling
Prototypes
Device frequency determination
federated learning (FL)
high efficiency
low cost
mobile-edge cloud computing (MECC)
user selection
AGCM-3DLF: Accelerating Atmospheric General Circulation Model via 3-D Parallelization and Leap-Format
期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2023, 卷号: 34, 期号: 3, 页码: 766-780
作者:
Cao, Hang
;
Yuan, Liang
;
Zhang, He
;
Zhang, Yunquan
;
Wu, Baodong
;
Li, Kun
;
Li, Shigang
;
Zhang, Minghua
;
Lu, Pengqi
;
Xiao, Junmin
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2023/07/12
Atmospheric general circulation model
3-D decomposition
leap-format finite-difference
heterogeneous acceleration
BPR: An Erasure Coding Batch Parallel Repair Approach in Distributed Storage Systems
期刊论文
IEEE ACCESS, 2023, 卷号: 11, 页码: 44509-44518
作者:
Song, Ying
;
Zhao, Wenxuan
;
Wang, Bo
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/12/04
Distributed processing
Business process re-engineering
Traffic congestion
Encoding
Full-duplex system
Decoding
Bandwidth
Storage management
Distributed storage system
erasure coding
data recovery