Niko, Comparing some other components will be very useful as well....svd++ from graphx vs the same algorithm in graphlab....also mllib.recommendation.als implicit/explicit compared to the collaborative filtering toolkit in graphlab...
To stress test what's the biggest sparse dataset that you have in mind ? On Mar 24, 2014 11:00 AM, "Niko Stahl" <r.niko.st...@gmail.com> wrote: > Hello, > > I'm interested in extending the comparison between GraphX and GraphLab > presented in Xin et. al (2013). The evaluation presented there is rather > limited as it only compares the frameworks for one algorithm (PageRank) on > a cluster with a fixed number of nodes. Are there any graph algorithms > where one might expect GraphX to perform better than GraphLab? Do you > expect the scaling properties (i.e. performance as a function of # of > worker nodes) to differ? > > Thanks for your help. I'd be happy to share the results of this study with > the community, if there's sufficient interest. > > Regards, > Niko >
