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检索条件"机构=Services Computing Technology and System Lab & Cluster and Grid Computing Lab"
648 条 记 录,以下是31-40 订阅
排序:
SharDAG: Scaling DAG-Based Blockchains Via Adaptive Sharding  40
SharDAG: Scaling DAG-Based Blockchains Via Adaptive Sharding
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40th IEEE International Conference on Data Engineering, ICDE 2024
作者: Cheng, Feng Xiao, Jiang Liu, Cunyang Zhang, Shijie Zhou, Yifan Li, Bo Li, Baochun Jin, Hai 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 Cluster and Grid Computing Lab 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
Seer: Accelerating Block chain Transaction Execution by Fine-Grained Branch Prediction  51st
Seer: Accelerating Block chain Transaction Execution by Fine...
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51st International Conference on Very Large Data Bases, VLDB 2025
作者: Zhang, Shijie Cheng, Ru Liu, Xinpeng Xiao, Jiang Jin, Hai Li, Bo 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 Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong
Increasingly popular decentralized applications (dApps) with complex application logic incur significant overhead for executing smart contract transactions, which greatly limits public block chain performance. Pre-exe...
来源: 评论
LibAMM: Empirical Insights into Approximate computing for Accelerating Matrix Multiplication  38
LibAMM: Empirical Insights into Approximate Computing for Ac...
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38th Conference on Neural Information Processing systems, NeurIPS 2024
作者: Zeng, Xianzhi Jiang, Wenchao Zhang, Shuhao National Engineering Research Center for Big DataTechnology 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 Nanyang Technological University Singapore Singapore University of Technology and Design Singapore
Matrix multiplication (MM) is pivotal in fields from deep learning to scientific computing, driving the quest for improved computational efficiency. Accelerating MM encompasses strategies like complexity reduction, pa...
来源: 评论
Towards High-throughput and Low-latency Billion-scale Vector Search via CPU/GPU Collaborative Filtering and Re-ranking  23
Towards High-throughput and Low-latency Billion-scale Vector...
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23rd USENIX Conference on File and Storage Technologies, FAST 2025
作者: Tian, Bing Liu, Haikun Tang, Yuhang Xiao, Shihai Duan, Zhuohui Liao, Xiaofei Jin, Hai Zhang, Xuecang Zhu, Junhua Zhang, Yu 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 China Huawei Technologies Co. Ltd. China
Approximate nearest neighbor search (ANNS) has emerged as a crucial component of database and AI infrastructure. Ever-increasing vector datasets pose significant challenges in terms of performance, cost, and accuracy ... 详细信息
来源: 评论
An Efficient Graph Accelerator with Distributed On-Chip Memory Hierarchy  22nd
An Efficient Graph Accelerator with Distributed On-Chip Mem...
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22nd International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2022
作者: Zheng, Ran Jiang, Yingxin Wang, Yibo Su, Yongbo Zheng, Long Yao, Pengcheng Liao, Xiaofei 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 Zhejiang Lab Hangzhou311121 China
Graph processing has evolved and expanded swiftly with artificial intelligence and big data technology. High-Bandwidth Memory (HBM), which delivers terabyte-level memory bandwidth, has opened up new development possib... 详细信息
来源: 评论
P3DC:Reducing DRAM Cache Hit Latency by Hybrid Mappings
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Journal of Computer Science & technology 2024年 第6期39卷 1341-1360页
作者: Ye Chi Ren-Tong Guo Xiao-Fei Liao Hai-Kun Liu Jianhui Yue National Engineering Research Center for Big Data Technology and System Wuhan 430074China Services Computing Technology and System Laboratory Wuhan 430074China Cluster and Grid Computing Laboratory Wuhan 430074China School of Computer Science and Technology Huazhong University of Science and TechnologyWuhan 430074China School of Big Data and Internet Shenzhen Technology UniversityShenzhen 518118China Department of Computer Science Michigan Technological UniversityHoughton 49931-1295U.S.A.
Die-stacked dynamic random access memory(DRAM)caches are increasingly advocated to bridge the performance gap between the on-chip cache and the main *** fully realize their potential,it is essential to improve DRAM ca... 详细信息
来源: 评论
CDA-GNN: A Chain-driven Accelerator for Efficient Asynchronous Graph Neural Network  24
CDA-GNN: A Chain-driven Accelerator for Efficient Asynchrono...
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61st ACM/IEEE Design Automation Conference, DAC 2024
作者: Yu, Hui Zhang, Yu He, Ligang He, Donghao Li, Qikun Zhao, Jin Liao, Xiaofei Jin, Hai Gu, Lin Liu, Haikun 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 China Department of Computer Science University of Warwick United Kingdom
Asynchronous Graph Neural Network (AGNN) has attracted much research attention because it enables faster convergence speed than the synchronous GNN. However, existing software/hardware solutions suffer from redundant ... 详细信息
来源: 评论
ES-Mask: Evolutionary Strip Mask for Explaining Time Series Prediction  37
ES-Mask: Evolutionary Strip Mask for Explaining Time Series ...
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37th AAAI Conference on Artificial Intelligence, AAAI 2023
作者: Sun, Yifei Song, Cheng Lu, Feng Li, Wei Jin, Hai Zomaya, Albert Y. 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 Centre for Distributed and High Performance Computing School of Computer Science University of Sydney Australia
Machine learning models are increasingly used in time series prediction with promising results. The model explanation of time series prediction falls behind the model development and makes less sense to users in under... 详细信息
来源: 评论
RETIA: Relation-Entity Twin-Interact Aggregation for Temporal Knowledge Graph Extrapolation  39
RETIA: Relation-Entity Twin-Interact Aggregation for Tempora...
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39th IEEE International Conference on Data Engineering, ICDE 2023
作者: Liu, Kangzheng Zhao, Feng Xu, Guandong Wang, Xianzhi 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 University of Technology Sydney Data Science and Machine Intelligence Lab Sydney Australia
Temporal knowledge graph (TKG) extrapolation aims to predict future unknown events (facts) based on historical information, and has attracted considerable attention due to its great practical significance. Accurate re... 详细信息
来源: 评论
Layered Structure Aware Dependent Microservice Placement Toward Cost Efficient Edge Clouds  42
Layered Structure Aware Dependent Microservice Placement Tow...
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42nd IEEE International Conference on Computer Communications, INFOCOM 2023
作者: Zeng, Deze Geng, Hongmin Gu, Lin Li, Zhexiong China University of Geosciences School of Computer Science Wuhan China 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
Although the containers are featured by light-weightness, it is still resource-consuming to pull and startup a large container image, especially in relatively resource-constrained edge cloud. Fortunately, Docker, as t... 详细信息
来源: 评论