咨询与建议

限定检索结果

文献类型

  • 2 篇 会议
  • 1 篇 学位论文

馆藏范围

  • 3 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 2 篇 工学
    • 1 篇 电气工程
    • 1 篇 计算机科学与技术...

主题

  • 3 篇 graph partitioni...
  • 3 篇 distributed vert...
  • 2 篇 performance mode...
  • 2 篇 time-evolving gr...
  • 2 篇 performance eval...
  • 1 篇 parallel process...

机构

  • 2 篇 univ georgia dep...
  • 1 篇 the university o...

作者

  • 2 篇 ramaswamy lakshm...
  • 2 篇 abdolrashidi ami...
  • 1 篇 narron david sea...
  • 1 篇 amirreza abdolra...

语言

  • 3 篇 英文
检索条件"主题词=Distributed Vertex-Centric Graph Processing"
3 条 记 录,以下是1-10 订阅
排序:
Performance Modeling of Computation and Communication Tradeoffs in vertex-centric graph processing Clusters  10
Performance Modeling of Computation and Communication Tradeo...
收藏 引用
10th IEEE International Conference on Collaborative Computing Networking Applications and Worksharing
作者: Abdolrashidi, Amirreza Ramaswamy, Lakshmish Narron, David Seamus Univ Georgia Dept Comp Sci Athens GA 30602 USA
distributed vertex-centric graph processing systems have been recently proposed to perform different types of analytics on large graphs. These systems utilize the parallelism of shared nothing clusters. In this work w... 详细信息
来源: 评论
Incremental Partitioning of Massive Dynamic graphs and Its Applications to vertex-centric graph processing Systems
Incremental Partitioning of Massive Dynamic Graphs and Its A...
收藏 引用
作者: Amirreza Abdolrashidi The University of Georgia
学位级别:博士
distributed vertex-centric graph processing systems have acquired significant pop- ularity in recent years for processing massive graphs. The manner in which graph data is partitioned and placed on the computational n... 详细信息
来源: 评论
Continual and Cost-Effective Partitioning of Dynamic graphs for Optimizing Big graph processing Systems  5
Continual and Cost-Effective Partitioning of Dynamic Graphs ...
收藏 引用
IEEE International Congress on Big Data (BigData Congress)
作者: Abdolrashidi, Amirreza Ramaswamy, Lakshmish Univ Georgia Dept Comp Sci Athens GA 30602 USA
Recently, several cluster computing frameworks have been proposed for scalable and efficient processing of big graphs. The manner in which graph data is partitioned and placed on the compute nodes has a significant im... 详细信息
来源: 评论