A Parallel PARAFAC Implementation & Scalability Testing for Large-Scale Dense Tensor Decomposition

@inproceedings{Aggour2016APP,
  title={A Parallel PARAFAC Implementation & Scalability Testing for Large-Scale Dense Tensor Decomposition},
  author={Kareem S. Aggour},
  year={2016}
}
Parallel Factor Analysis (PARAFAC) is used in many scientific disciplines to decompose multidimensional datasets into principal factors in order to uncover relationships in the data. While quite popular, the common implementations of PARAFAC are single server solutions that do not scale well to very large datasets. To address this limitation, a Parallel PARAFAC algorithm has been designed and implemented in C using MPI. The end-to-end pipeline includes a parallel read of the input data from a… CONTINUE READING

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