Kashif Rabbani Kashif-Rabbani

## DistributedGraphLab.md

      
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              November 13, 2018 14:38
                — forked from shagunsodhani/DistributedGraphLab.md
            
              
                Notes for "Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud" paper.
              
          
    Introduction


GraphLab abstraction exposes asynchronous, dynamic, graph-parallel computation model in the shared-memory setting.
This paper extends the abstraction to the distributed setting.
Link to the paper.

Characteristics of MLDM (Machine Learning and Data Mining)


Graph Structured Computation
Sometimes computation requires modeling dependencies between data.