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检索条件"主题词=Graph computation"
30 条 记 录,以下是11-20 订阅
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IncPregeh an incremental graph parallel computation model
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Frontiers of Computer Science 2018年 第6期12卷 1076-1089页
作者: Qiang LIU Xiaoshe DONG Heng CHEN Yinfeng WANG School of Electronics and Information Engineering Xi'an Jiaotong UniversityXi'an 710049China Shenzhen Institute of Information Technology Shenzhen 518172China
Large-scale graph computation is often required in a variety of emerging applications such as social network computation and Web services. Such graphs are typically large and frequently updated with minor changes. How... 详细信息
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VENUS: A System for Streamlined graph computation on a Single PC
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IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 2016年 第8期28卷 2230-2245页
作者: Liu, Qin Cheng, Jiefeng Li, Zhenguo Lui, John C. S. Chinese Univ Hong Kong Dept Comp Sci & Engn Hong Kong Hong Kong Peoples R China Huawei Noahs Ark Lab Hong Kong Hong Kong Peoples R China
Recent studies show that disk-based graph computation systems on just a single PC can be as highly competitive as cluster-based systems on large-scale problems. Inspired by this remarkable progress, we develop VENUS, ... 详细信息
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An Efficient Framework for Incremental graph computation  15
An Efficient Framework for Incremental Graph Computation
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15th IEEE Int Conf on Trust, Security and Privacy in Comp and Commun / 10th IEEE Int Conf on Big Data Science and Engineering / 14th IEEE Int Symposium on Parallel and Distributed Proc with Applicat (IEEE Trustcom/BigDataSE/ISPA)
作者: Liu, Qiang Dong, XiaoShe Chen, Heng Zhu, Zheng Dong Wang, Yinfeng Xi An Jiao Tong Univ Sch Elect & Informat Engn Xian 710049 Peoples R China Shenzhen Inst Informat Technol Shenzhen 518172 Peoples R China
graph computation has become increasingly popular in emerging applications such as social networks and web graphs. In practice, graph is typically large and frequently updated with small changes. However, traditional ... 详细信息
来源: 评论
PAGE: A Partition Aware Engine for Parallel graph computation
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IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 2015年 第2期27卷 518-530页
作者: Shao, Yingxia Cui, Bin Ma, Lin Peking Univ Sch EECS Key Lab High Confidence Software Technol MOE Beijing Peoples R China
graph partition quality affects the overall performance of parallel graph computation systems. The quality of a graph partition is measured by the balance factor and edge cut ratio. A balanced graph partition with sma... 详细信息
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Locality-Aware Vertex Scheduling for GPU-based graph computation  23
Locality-Aware Vertex Scheduling for GPU-based Graph Computa...
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23rd IFIP WG 10.5/IEEE International Conference on Very Large Scale Integration (VLSI-SoC)
作者: Park, Hyunsun Ahn, Junwhan Park, Eunhyeok Yoo, Sungjoo Pohang Univ Sci & Technol POSTECH Dept Elect Engn Pohang South Korea Seoul Natl Univ Dept Elect & Comp Engn Seoul 151 South Korea Seoul Natl Univ Dept Comp Sci & Engn Seoul 151 South Korea
graph computation is becoming more and more popular in machine learning, big data analytics, etc. For such workloads, GPU is considered as an efficient execution platform since graph computation is characterized by ma... 详细信息
来源: 评论
graphGen: An FPGA Framework for Vertex-Centric graph computation  22
GraphGen: An FPGA Framework for Vertex-Centric Graph Computa...
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22nd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines ((FCCM)
作者: Nurvitadhi, Eriko Weisz, Gabriel Wang, Yu Hurkat, Skand Marie Nguyen Hoe, James C. Martinez, Jose F. Guestrin, Carlos Intel Corp Pittsburgh PA 15213 USA Carnegie Mellon Univ Pittsburgh PA 15213 USA Cornell Univ Ithaca NY USA Univ Washington Seattle WA 98195 USA
Vertex-centric graph computations are widely used in many machine learning and data mining applications that operate on graph data structures. This paper presents graphGen, a vertex-centric framework that targets FPGA... 详细信息
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Fast Single-phase Fault Location Method Based on Community graph Depth-first Traversal for Distribution Network
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CSEE Journal of Power and Energy Systems 2023年 第2期9卷 612-622页
作者: Jian Dang Yunjiang Yan Rong Jia Xiaowei Wang Hui Wei Xi’an Key Laboratory of Intelligent Energy Xi’an University of TechnologyShaanxi 710048China
With the increasing complexity of distribution network structures originating from the high penetration of renewable energy and responsive loads,fast and accurate fault location technology for distribution networks is... 详细信息
来源: 评论
Edge Repartitioning via Structure-Aware Group Migration
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IEEE TRANSACTIONS ON computationAL SOCIAL SYSTEMS 2022年 第3期9卷 751-760页
作者: Li, He Yuan, Hang Huang, Jianbin Ma, Xiaoke Cui, Jiangtao Yoo, Jaesoo Xidian Univ Sch Comp Sci & Technol Xian 710126 Peoples R China Chungbuk Natl Univ Dept Informat & Commun Engn Cheongju 361763 South Korea
graph partitioning is a mandatory step in distributed graph computing systems. Some existing systems use edge partitioning methods to partition static graphs. However, the structure of the real-world graphs changes dy... 详细信息
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Tianhegraph: Customizing graph Search for graph500 on Tianhe Supercomputer
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IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 2022年 第4期33卷 941-951页
作者: Gan, Xinbiao Zhang, Yiming Wang, Ruibo Li, Tiejun Xiao, Tiaojie Zeng, Ruigeng Liu, Jie Lu, Kai Natl Univ Def Technol Changsha 410073 Hunan Peoples R China
As the era of exascale supercomputing is coming, it is vital for next-generation supercomputers to find appropriate applications with high social and economic benefit. In recent years, it has been widely accepted that... 详细信息
来源: 评论
graph partitioning strategies: one size does not fit all
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JOURNAL OF SUPERCOMPUTING 2022年 第17期78卷 19272-19295页
作者: Zhai, Xiaomeng Zhang, Hong Huang, Xu Zhang, Shouhua Hebei Univ Sch Cyber Secur & Comp Qiyi East Rd Baoding 071000 Hebei Peoples R China Univ Oulu Informat Technol & Elect Engn Oulu Finland
As an important part of distributed graph computing, graph partitioning has been widely studied. However, the majority of the existing approaches to distributed graph partitioning barely take into consideration the re... 详细信息
来源: 评论