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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:
共15条,第1-10条
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发表日期:2021
文献类型:期刊论文
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EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks
期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2021, 卷号: 70, 期号: 9, 页码: 1511-1525
作者:
Liang, Shengwen
;
Wang, Ying
;
Liu, Cheng
;
He, Lei
;
Li, Huawei
;
Xu, Dawen
;
Li, Xiaowei
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2021/12/01
Neural networks
Hardware
System-on-chip
Task analysis
Feature extraction
Memory management
Graph neural network
accelerator architecture
hardware acceleration
Optimizing the LINPACK Algorithm for Large-Scale PCIe-Based CPU-GPU Heterogeneous Systems
期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 2367-2380
作者:
Tan, Guangming
;
Shui, Chaoyang
;
Wang, Yinshan
;
Yu, Xianzhi
;
Yan, Yujin
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2021/12/01
Pipeline processing
Graphics processing units
Computer architecture
Supercomputers
Clustering algorithms
Programming
Optimization
LINPACK algorithm
software pipeline
performance model
heterogeneous computing
cluster
A blockchain-empowered AAA scheme in the large-scale HetNet
期刊论文
DIGITAL COMMUNICATIONS AND NETWORKS, 2021, 卷号: 7, 期号: 3, 页码: 308-316
作者:
Shi, Na
;
Tan, Liang
;
Li, Wenjuan
;
Qi, Xin
;
Yu, Keping
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2021/12/01
HetNet
AAA
Privacy preserving
Blockchain
Transaction
Estimating the Resource Demand in Power-Aware Clusters by Regressing a Linearly Dependent Relation
期刊论文
IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, 2021, 卷号: 6, 期号: 3, 页码: 385-397
作者:
Hu, Cheng
;
Deng, Yuhui
;
Yang, Laurence T.
;
Zhao, Yufan
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2021/12/01
Estimation
Servers
Linear regression
Quality of service
Computational modeling
Analytical models
Task analysis
Resource demand estimation
linear regression
power-aware cluster
QoS
SLA
A Fast Circuit Scheduling Scheme for Optical Data Center Networks
期刊论文
IEEE PHOTONICS TECHNOLOGY LETTERS, 2021, 卷号: 33, 期号: 11, 页码: 561-564
作者:
Yu, Xiaoshan
;
Gu, Huaxi
;
Li, Shuo
;
Lu, Yunfeng
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2021/12/01
Optical switches
Switching circuits
Scheduling algorithms
Delays
Acceleration
Time complexity
Schedules
Networks
optical circuit switching
Deep learning to segment pelvic bones: large-scale CT datasets and baseline models
期刊论文
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2021, 页码: 8
作者:
Liu, Pengbo
;
Han, Hu
;
Du, Yuanqi
;
Zhu, Heqin
;
Li, Yinhao
;
Gu, Feng
;
Xiao, Honghu
;
Li, Jun
;
Zhao, Chunpeng
;
Xiao, Li
;
Wu, Xinbao
;
Zhou, S. Kevin
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2021/12/01
CT dataset
Pelvic segmentation
Deep learning
SDF post-processing
Cross-modal semantic correlation learning by Bi-CNN network
期刊论文
IET IMAGE PROCESSING, 2021, 页码: 11
作者:
Wang, Chaoyi
;
Li, Liang
;
Yan, Chenggang
;
Wang, Zhan
;
Sun, Yaoqi
;
Zhang, Jiyong
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2021/12/01
Reliability Evaluation and Analysis of FPGA-Based Neural Network Acceleration System
期刊论文
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2021, 卷号: 29, 期号: 3, 页码: 472-484
作者:
Xu, Dawen
;
Zhu, Ziyang
;
Liu, Cheng
;
Wang, Ying
;
Zhao, Shuang
;
Zhang, Lei
;
Liang, Huaguo
;
Li, Huawei
;
Cheng, Kwang-Ting
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2021/12/01
Neural networks
Circuit faults
Hardware
Acceleration
Reliability
Analytical models
Computational modeling
Integrated circuit reliability
reliability
A network-based machine-learning framework to identify both functional modules and disease genes
期刊论文
HUMAN GENETICS, 2021, 页码: 17
作者:
Yang, Kuo
;
Lu, Kezhi
;
Wu, Yang
;
Yu, Jian
;
Liu, Baoyan
;
Zhao, Yi
;
Chen, Jianxin
;
Zhou, Xuezhong
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2021/12/01
Feature Rescaling and Fusion for Tiny Object Detection
期刊论文
IEEE ACCESS, 2021, 卷号: 9, 页码: 62946-62955
作者:
Liu, Jingwei
;
Gu, Yi
;
Han, Shumin
;
Zhang, Zhibin
;
Guo, Jiafeng
;
Cheng, Xueqi
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2021/12/01
Feature extraction
Object detection
Semantics
Task analysis
Training
Spatial resolution
Shape
Tiny object detection
nonparametric adaptive selection
feature fusion
feature pyramid network
ensemble model