… intelligence (AI) in the big data settings. We conclude that integrating data-driven machine
learning … AI, as follows: from shallow computation to deep neural reasoning; from merely data-…

… Distributed GraphLab: a framework for machine learning and data mining in … Parallel model
(AP) were introduced. Then the typical machine learning platforms based on these parallel …

… GraphLab和PowerGraph是面向机器学习的高性 能的并行流处理框架.它们都采用了BSP 模型
,… ,Hama和GraphLab采用了经典的Hash取模 静态划分算法. Pregel,Hama 和GraphLab 中处理的…

… Thus, energy efficient machine learning is crucial for green … redundant computation in the
machine learning applications, this … Graphlab: A new framework for parallel machine learning. …

… Abstract: A parallel data analysis system was built based on … as well as part of the parallel
data analysis algorithms. Through … Graphlab: A new framework for parallel machine learning[J]. …

… 在Pregel 和GraphLab 的基础上, PowerGraph[14]特别针对社交网络图数据的幂律分 布特性
,借鉴了GraphLab 的内存共享… framework for machine learning and data mining in the loud[J]. …

… Distributed graphlab: a framework for machine learning and data mining in the cloud[J].
Proceedings of the VLDB Endowment, 2012, 5(8): 716-727. [15] MALEWICZ G, AUSTERN MH, …

… 2.2 云计算平台Giraph Giraph[2]是Pregel[3]的开源,采用BSP (bulk synchronous parallel)模型
[… New York: ACM Press, 2013. [10] VALIANT L G. A bridging model for parallel computation[J]…

… ,以社交网络为例,Facebook在 2014年7月的用户已经达到… GraphLab: a new framework for
parallel mach i ne le arnin g. P ro ceedings of Conference on Uncertainty in Artificial Intelligence…

… on the latest GraphLab 2.2 (released in March 2014), which … graph-cut modules for GraphLab
and thus can transparently … Distributed GraphLab: A framework for machine learning and …