咨询与建议

限定检索结果

文献类型

  • 376 篇 会议
  • 221 篇 期刊文献
  • 7 册 图书

馆藏范围

  • 604 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 320 篇 工学
    • 263 篇 计算机科学与技术...
    • 179 篇 软件工程
    • 50 篇 信息与通信工程
    • 32 篇 生物工程
    • 24 篇 电气工程
    • 23 篇 电子科学与技术(可...
    • 23 篇 控制科学与工程
    • 23 篇 网络空间安全
    • 14 篇 动力工程及工程热...
    • 13 篇 机械工程
    • 12 篇 光学工程
    • 12 篇 核科学与技术
    • 9 篇 生物医学工程(可授...
    • 7 篇 交通运输工程
    • 6 篇 仪器科学与技术
    • 6 篇 化学工程与技术
  • 144 篇 理学
    • 54 篇 数学
    • 53 篇 物理学
    • 35 篇 生物学
    • 12 篇 系统科学
    • 11 篇 统计学(可授理学、...
    • 10 篇 化学
  • 85 篇 管理学
    • 69 篇 管理科学与工程(可...
    • 26 篇 工商管理
    • 20 篇 图书情报与档案管...
  • 14 篇 法学
    • 8 篇 社会学
    • 6 篇 法学
  • 10 篇 医学
    • 9 篇 临床医学
    • 7 篇 基础医学(可授医学...
  • 8 篇 经济学
    • 7 篇 应用经济学
  • 4 篇 文学
  • 4 篇 军事学
  • 3 篇 农学
  • 1 篇 教育学
  • 1 篇 艺术学

主题

  • 49 篇 grid computing
  • 34 篇 virtual machinin...
  • 28 篇 computer science
  • 26 篇 bandwidth
  • 26 篇 computational mo...
  • 23 篇 resource managem...
  • 22 篇 servers
  • 21 篇 peer to peer com...
  • 20 篇 protocols
  • 19 篇 hardware
  • 18 篇 scalability
  • 17 篇 computer archite...
  • 17 篇 cloud computing
  • 16 篇 operating system...
  • 16 篇 virtual machine ...
  • 15 篇 kernel
  • 14 篇 application soft...
  • 12 篇 benchmark testin...
  • 11 篇 access control
  • 11 篇 memory managemen...

机构

  • 100 篇 national enginee...
  • 64 篇 services computi...
  • 56 篇 school of comput...
  • 46 篇 services computi...
  • 40 篇 department of ph...
  • 40 篇 faculty of scien...
  • 40 篇 departamento de ...
  • 40 篇 department for p...
  • 40 篇 department of ph...
  • 40 篇 yerevan physics ...
  • 40 篇 institute of phy...
  • 40 篇 institute of phy...
  • 40 篇 department of ph...
  • 40 篇 physics departme...
  • 39 篇 dipartimento di ...
  • 39 篇 kirchhoff-instit...
  • 39 篇 graduate school ...
  • 39 篇 instituto de fís...
  • 38 篇 fakultät für phy...
  • 38 篇 tomsk state univ...

作者

  • 243 篇 hai jin
  • 163 篇 jin hai
  • 57 篇 xiaofei liao
  • 34 篇 m. klein
  • 34 篇 deqing zou
  • 32 篇 c. alexa
  • 32 篇 j. m. izen
  • 32 篇 s. veneziano
  • 32 篇 g. bella
  • 32 篇 j. strandberg
  • 32 篇 d. calvet
  • 32 篇 c. amelung
  • 32 篇 n. orlando
  • 32 篇 h. a. gordon
  • 32 篇 y. tayalati
  • 32 篇 g. spigo
  • 32 篇 v. chiarella
  • 32 篇 f. siegert
  • 32 篇 a. c. könig
  • 32 篇 r. ströhmer

语言

  • 572 篇 英文
  • 21 篇 其他
  • 12 篇 中文
检索条件"机构=Cluster and Grid Computing Laboratory School of Computer Science and Technology"
604 条 记 录,以下是431-440 订阅
排序:
RAHP: A Redundancy-aware Accelerator for High-performance Hypergraph Neural Network
RAHP: A Redundancy-aware Accelerator for High-performance Hy...
收藏 引用
IEEE/ACM International Symposium on Microarchitecture (MICRO)
作者: Hui Yu Yu Zhang Ligang He Yingqi Zhao Xintao Li Ruida Xin Jin Zhao Xiaofei Liao Haikun Liu Bingsheng He Hai Jin National Engineering Research Center for Big Data Technology and System Service Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China Department of Computer Science University of Warwick United Kingdom National University of Singapore Singapore
Hypergraph Neural Network (HyperGNN) has emerged as a potent methodology for dissecting intricate multilateral connections among various entities. Current software/hardware solutions leverage a sequential execution mo... 详细信息
来源: 评论
Does Your Neural Code Completion Model Use My Code? A Membership Inference Approach
arXiv
收藏 引用
arXiv 2024年
作者: Wan, Yao Wan, Guanghua Zhang, Shijie Zhang, Hongyu Zhou, Pan Jin, Hai Sun, Lichao National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China Huazhong University of Science and Technology China University of Leigh United States
Recent years have witnessed significant progress in developing deep learning-based models for automated code completion. Examples of such models include CodeGPT and StarCoder. These models are typically trained from a... 详细信息
来源: 评论
QoS-Aware and Cost-Efficient Dynamic Resource Allocation for Serverless ML Workflows
QoS-Aware and Cost-Efficient Dynamic Resource Allocation for...
收藏 引用
International Symposium on Parallel and Distributed Processing (IPDPS)
作者: Hao Wu Junxiao Deng Hao Fan Shadi Ibrahim Song Wu Hai Jin National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology China Inria Univ. Rennes CNRS IRISA France
Machine Learning (ML) workflows are increasingly deployed on serverless computing platforms to benefit from their elasticity and fine-grain pricing. Proper resource allocation is crucial to achieve fast and cost-effic...
来源: 评论
Economy-Based Data Replication Broker
Economy-Based Data Replication Broker
收藏 引用
IEEE International Conference on e-science and grid computing
作者: Henry Lin J.H. Abawajy Rajkumar Buyya Grid Computing and Distributed Systems Laboratory Department of Computer Science and Software Engineering University of Melbourne Melbourne VIC Australia Grid and Pervasive Computing Laboratory School of Engineering and Information Technology Deakin University Geelong VIC Australia
Data replication is one of the key components in data grid architecture as it enhances data access and reliability and minimises the cost of data transmission. In this paper, we address the problem of reducing the ove... 详细信息
来源: 评论
Accelerating Backward Aggregation in GCN Training with Execution Path Preparing on GPUs
arXiv
收藏 引用
arXiv 2022年
作者: Xu, Shaoxian Shao, Zhiyuan Yang, Ci Liao, Xiaofei Jin, Hai The National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China Zhejiang Lab Hangzhou311121 China
The emerging Graph Convolutional Network (GCN) has been widely used in many domains, where it is important to improve the efficiencies of applications by accelerating GCN trainings. Due to the sparsity nature and expl... 详细信息
来源: 评论
SharDAG: Scaling DAG-Based Blockchains Via Adaptive Sharding
SharDAG: Scaling DAG-Based Blockchains Via Adaptive Sharding
收藏 引用
International Conference on Data Engineering
作者: Feng Cheng Jiang Xiao Cunyang Liu Shijie Zhang Yifan Zhou Bo Li Baochun Li Hai Jin National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology China Hong Kong University of Science and Technology Hong Kong University of Toronto Canada
Directed Acyclic Graph (DAG)-based blockchain (a.k.a distributed ledger) has become prevalent for supporting highly concurrent applications. Its inherent parallel data structure accelerates block generation significan... 详细信息
来源: 评论
Contrastive Learning for Robust Android Malware Familial Classification
收藏 引用
IEEE Transactions on Dependable and Secure computing 2022年 1-14页
作者: Wu, Yueming Dou, Shihan Zou, Deqing Yang, Wei Qiang, Weizhong Jin, Hai National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Huazhong University of Science and Technology Wuhan China Shanghai Key Laboratory of Intelligent Information Processing School of Computer Science Fudan University Shanghai China University of Texas at Dallas Dallas USA National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China
Due to its open-source nature, Android operating system has been the main target of attackers to exploit. Malware creators always perform different code obfuscations on their apps to hide malicious activities. Feature... 详细信息
来源: 评论
FedMoS: Taming Client Drift in Federated Learning with Double Momentum and Adaptive Selection
FedMoS: Taming Client Drift in Federated Learning with Doubl...
收藏 引用
IEEE Annual Joint Conference: INFOCOM, IEEE computer and Communications Societies
作者: Xiong Wang Yuxin Chen Yuqing Li Xiaofei Liao Hai Jin Bo Li National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China School of Cyber Science and Engineering Wuhan University Wuhan China Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong
Federated learning (FL) enables massive clients to collaboratively train a global model by aggregating their local updates without disclosing raw data. Communication has become one of the main bottlenecks that prolong...
来源: 评论
A Scalable, Efficient, and Robust Dynamic Memory Management Library for HLS-based FPGAs
A Scalable, Efficient, and Robust Dynamic Memory Management ...
收藏 引用
IEEE/ACM International Symposium on Microarchitecture (MICRO)
作者: Qinggang Wang Long Zheng Zhaozeng An Shuyi Xiong Runze Wang Yu Huang Pengcheng Yao Xiaofei Liao Hai Jin Jingling Xue National Engineering Research Center for Big Data Technology and System/Services Computing Technology and System Lab/Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China Zhejiang Lab Hangzhou China School of Computer Science and Engineering University of New South Wales Sydney NSW Australia
Nowadays, high-level synthesis (HLS) has gained prominence for FPGA-based architecture prototyping, enhancing productivity significantly. Despite this advancement, HLS tools are impeded by a critical drawback: they la...
来源: 评论
M2CF-Net: A Multi-Resolution and Multi-Scale Cross Fusion Network for Segmenting Pathology Lesion of the Focal Lymphocytic Sialadenitis
M2CF-Net: A Multi-Resolution and Multi-Scale Cross Fusion Ne...
收藏 引用
Medical Artificial Intelligence (MedAI), IEEE International Conference on
作者: Hao Han Feng Lu Yanhan Deng Xiaofang Luo Hai Jin Wei Tu Xia Xie National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China School of Computer Science and Technology Hainan University Haikou China
In the medical realm, the pivotal role of pathological Whole Slide Images (WSIs) in detecting cancer, tracking disease progression, and evaluating treatment efficacy is indisputable. Nevertheless, the identification a...
来源: 评论