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检索条件"机构=Cluster and Grid Computing Lab Services Computing Technology"
673 条 记 录,以下是61-70 订阅
排序:
SaGraph: A Similarity-Aware Hardware Accelerator for Temporal Graph Processing  23
SaGraph: A Similarity-Aware Hardware Accelerator for Tempora...
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Proceedings of the 60th Annual ACM/IEEE Design Automation Conference
作者: Jin Zhao Yu Zhang Jian Cheng Yiyang Wu Chuyue Ye Hui Yu Zhiying Huang Hai Jin Xiaofei Liao Lin Gu Haikun Liu National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab Huazhong University of Science and Technology Wuhan China and Zhejiang-HUST Joint Research Center for Graph Processing Zhejiang Lab Hangzhou China National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab Huazhong University of Science and Technology Wuhan China
Temporal graph processing is used to handle the snapshots of the temporal graph, which concerns changes in graph over time. Although several software/hardware solutions have been designed for efficient temporal graph ...
来源: 评论
RAHP: A Redundancy-aware Accelerator for High-performance Hypergraph Neural Network  57
RAHP: A Redundancy-aware Accelerator for High-performance Hy...
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57th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2024
作者: Yu, Hui Zhang, Yu He, Ligang Zhao, Yingqi Li, Xintao Xin, Ruida Zhao, Jin Liao, Xiaofei Liu, Haikun He, Bingsheng Jin, Hai School of Computer Science and Technology Huazhong University of Science and Technology Natl. Eng. Res. Ctr. for Big Data Technology and System Service Computing Technology and System Lab Cluster and Grid Computing Lab Wuhan430074 China University of Warwick Department of Computer Science 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
Towards Stricter Black-box Integrity Verification of Deep Neural Network Models  24
Towards Stricter Black-box Integrity Verification of Deep Ne...
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32nd ACM International Conference on Multimedia, MM 2024
作者: He, Chaoxiang Bai, Xiaofan Ma, Xiaojing Zhu, Bin B. Hu, Pingyi Fu, Jiayun Jin, Hai Zhang, Dongmei Huazhong University of Science and Technology Hubei Wuhan China Shanghai Jiao Tong University Shanghai China Microsoft Corporation Beijing China National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Hubei Engineering Research Center on Big Data Security Hubei Key Laboratory of Distributed System Security School of Cyber Science and Engineering Huazhong University of Science and Technology China 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
Cloud-based machine learning services offer significant advantages but also introduce the risk of tampering with cloud-deployed deep neural network (DNN) models. Black-box integrity verification (BIV) allows model own... 详细信息
来源: 评论
Resource abstraction and data placement for distributed hybrid memory pool
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Frontiers of Computer Science 2021年 第3期15卷 47-57页
作者: Tingting CHEN Haikun LIU Xiaofei LIAO Hai JIN National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab/Gluster and Grid Computing LabSchool of Gomputing Science and TechnologyHuazhong University of Science and TechnologyWuhan 430074China
Emerging byte-addressable non-volatile memory(NVM)technologies offer higher density and lower cost than DRAM,at the expense of lower performance and limited write *** have been many studies on hybrid NVM/DRAM memory m... 详细信息
来源: 评论
Towards trustworthy blockchain systems in the era of “Internet of value”: development, challenges, and future trends
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Science China(Information Sciences) 2022年 第5期65卷 250-260页
作者: Hai JIN Jiang XIAO 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 TechnologyHuazhong University of Science and Technology
Since the advent of cryptocurrencies such as Bitcoin, blockchain, as their underlying technologies,has drawn a massive amount of attention from both academia and the industry. This ever-evolving technology inherits t... 详细信息
来源: 评论
LOPO: An Out-of-order Layer Pulling Orchestration Strategy for Fast Microservice Startup  42
LOPO: An Out-of-order Layer Pulling Orchestration Strategy f...
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42nd IEEE International Conference on Computer Communications, INFOCOM 2023
作者: Gu, Lin Huang, Junhao Huang, Shaoxing Zeng, Deze Li, Bo Jin, Hai Huazhong University of Science and Technology 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 Wuhan China China University of Geosciences School of Computer Science Wuhan China Hong Kong University of Science and Technology Department of Computer Science and Engineering Hong Kong
Container based microservices have been widely applied to promote the cloud elasticity. The mainstream Docker containers are structured in layers, which are organized in stack with bottom-up dependency. To start a mic... 详细信息
来源: 评论
FedMoS: Taming Client Drift in Federated Learning with Double Momentum and Adaptive Selection  42
FedMoS: Taming Client Drift in Federated Learning with Doubl...
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42nd IEEE International Conference on Computer Communications, INFOCOM 2023
作者: Wang, Xiong Chen, Yuxin Li, Yuqing Liao, Xiaofei Jin, Hai Li, Bo Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Wuhan China Wuhan University School of Cyber Science and Engineering Wuhan China Hong Kong University of Science and Technology Department of Computer Science and Engineering 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... 详细信息
来源: 评论
A Transformer-Based Spatio-Temporal Graph Neural Network for Anomaly Detection on Dynamic Graphs  12th
A Transformer-Based Spatio-Temporal Graph Neural Network for...
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12th CCF Conference on BigData, BigData 2024
作者: Gao, Yuanjun Zhu, Quntao Shi, Xuanhua Jin, Hai 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
Dynamic graphs have emerged as a pivotal data structure underpinning real-world network applications. Against this backdrop, detecting anomalies in dynamic graphs has become particularly important, serving as a founda... 详细信息
来源: 评论
AccelES: Accelerating Top-K SpMV for Embedding Similarity via Low-bit Pruning
AccelES: Accelerating Top-K SpMV for Embedding Similarity vi...
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IEEE Symposium on High-Performance Computer Architecture
作者: Jiaqi Zhai Xuanhua Shi Kaiyi Huang Chencheng Ye Weifang Hu Bingsheng He 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 Wuhan China School of Computing National University of Singapore Singapore
In the realm of recommendation systems, achieving real-time performance in embedding similarity tasks is often hindered by the limitations of traditional Top-K sparse matrix-vector multiplication (SpMV) methods, which... 详细信息
来源: 评论
Intersecting-Boundary-Sensitive Fingerprinting for Tampering Detection of DNN Models  41
Intersecting-Boundary-Sensitive Fingerprinting for Tampering...
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41st International Conference on Machine Learning, ICML 2024
作者: Bai, Xiaofan He, Chaoxiang Ma, Xiaojing Zhu, Bin Benjamin Jin, Hai School of Cyber Science and Engineering Huazhong University of Science and Technology China National Engineering Research Center for Big Data Technology and System China Services Computing Technology and System Lab China Hubei Engineering Research Center on Big Data Security China Hubei Key Laboratory of Distributed System Security China Microsoft United States School of Computer Science and Technology Huazhong University of Science and Technology China Cluster and Grid Computing Lab China
Cloud-based AI services offer numerous benefits but also introduce vulnerabilities, allowing for tampering with deployed DNN models, ranging from injecting malicious behaviors to reducing computing resources. Fingerpr... 详细信息
来源: 评论