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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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Blockchain Bottleneck Analysis Based on Performance Metrics Causality
期刊论文
ELECTRONICS, 2024, 卷号: 13, 期号: 21, 页码: 15
作者:
Song, Weihu
;
Zhu, Mengxiao
;
Lu, Dong
;
Zhu, Chen
;
Zhao, Jiejie
;
Sun, Yi
;
Li, Lei
;
Zhu, Haogang
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/12/06
blockchain
consortium
causal inference
bottleneck analysis
ElasticBatch: A Learning-Augmented Elastic Scheduling System for Batch Inference on MIG
期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2024, 卷号: 35, 期号: 10, 页码: 1708-1720
作者:
Qi, Jiaxing
;
Xiao, Wencong
;
Li, Mingzhen
;
Yang, Chaojie
;
Li, Yong
;
Lin, Wei
;
Yang, Hailong
;
Luan, Zhongzhi
;
Qian, Depei
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/12/06
Graphics processing units
Dynamic scheduling
Throughput
Processor scheduling
Pipelines
Costs
Quality of service
MIG
batch inference
scheduling system
machine learning
Knowledge-based digital twin system: Using a knowlege-driven approach for manufacturing process modeling
期刊论文
COMPUTERS IN INDUSTRY, 2024, 卷号: 159, 页码: 21
作者:
Su, Chang
;
Han, Yong
;
Tang, Xin
;
Jiang, Qi
;
Wang, Tao
;
He, Qingchen
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2024/12/06
Manufacturing process
Knowledge-based digital twin system
Knowledge graph
Knowledge-driven modeling approach
Knowledge inference
An Automatic Neural Network Architecture-and-Quantization Joint Optimization Framework for Efficient Model Inference
期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 5, 页码: 1497-1510
作者:
Liu, Lian
;
Wang, Ying
;
Zhao, Xiandong
;
Chen, Weiwei
;
Li, Huawei
;
Li, Xiaowei
;
Han, Yinhe
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/12/06
Optimization
Quantization (signal)
Computer architecture
Training
Computational modeling
Integrated circuit modeling
Convergence
Automatic joint optimization
efficient model inference
network quantization
neural architecture search (NAS)
MJOA-MU: End-to-edge collaborative computation for DNN inference based on model uploading
期刊论文
COMPUTER NETWORKS, 2023, 卷号: 231, 页码: 17
作者:
Yang, Huan
;
Sun, Sheng
;
Liu, Min
;
Zhang, Qiuping
;
Wang, Yuwei
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2023/12/04
DNN inference
Model uploading
DNN partitioning
Resource allocation
Transductive Semi-Supervised Metric Network for Reject Inference in Credit Scoring
期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2023, 页码: 10
作者:
Guo, Zhiyu
;
Ao, Xiang
;
He, Qing
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2023/12/04
Credit scoring
metric learning
reject inference
transductive learning
EALI: Energy-aware layer-level scheduling for convolutional neural network inference services on GPUs
期刊论文
NEUROCOMPUTING, 2022, 卷号: 507, 页码: 265-281
作者:
Yao, Chunrong
;
Liu, Wantao
;
Liu, Zhibing
;
Yan, Longchuan
;
Hu, Songlin
;
Tang, Weiqing
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2022/12/07
Scheduling
Convolutional neural networks (CNNs)
GPUs
Service-level-objective (SLO)
Energy minimization
Inference services
EAIS: Energy-aware adaptive scheduling for CNN inference on high-performance GPUs
期刊论文
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2022, 卷号: 130, 页码: 253-268
作者:
Yao, Chunrong
;
Liu, Wantao
;
Tang, Weiqing
;
Hu, Songlin
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2022/12/07
Energy-aware
Convolutional neural network (CNN) inference
High-performance GPUs
Workload scheduling
Service-Level-Objective (SLO)
Efficiently Inferring Top-k Largest Monitoring Data Entries Based on Discrete Tensor Completion
期刊论文
IEEE-ACM TRANSACTIONS ON NETWORKING, 2021, 卷号: 29, 期号: 6, 页码: 2737-2750
作者:
Tian, Jiazheng
;
Xie, Kun
;
Wang, Xin
;
Xie, Gaogang
;
Li, Kenli
;
Wen, Jigang
;
Zhang, Dafang
;
Cao, Jiannong
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2022/06/21
Top-k largest entry inference
tensor completion
TWIRLS, a knowledge-mining technology, suggests a possible mechanism for the pathological changes in the human host after coronavirus infection via ACE2 (vol 81, pg 1004, 2020)
期刊论文
DRUG DEVELOPMENT RESEARCH, 2021, 页码: 1
作者:
Niu, Gang
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2021/12/01
coronavirus
cytokine storm
literature mining
renin
angiotensin system
topic inference