Scalable non-negative matrix tri-factorization: Supplementary material

نویسندگان

  • Andrej Čopar
  • Marinka Žitnik
  • Blaž Zupan
چکیده

We provide further details on performance analysis for our block-wise matrix tri-factorization. In particular, we include analysis of orthogonal matrix tri-factorization that is discussed in our manuscript but whose results, due to conceptual similarity with non-orthogonal factorization were not included in there. We also present the impact of communication overhead on both non-orthogonal and orthogonal NMTF models and show results on the scalability of 4-processor and 4-GPU implementations with regards to factorization rank. Finally, we analyze the speed-up of balanced partitioning.

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تاریخ انتشار 2017