Scalable sparse tensor decompositions in distributed memory systems

@article{Kaya2015ScalableST,
  title={Scalable sparse tensor decompositions in distributed memory systems},
  author={Oguz Kaya and Bora Uçar},
  journal={SC15: International Conference for High Performance Computing, Networking, Storage and Analysis},
  year={2015},
  pages={1-11}
}
We investigate an efficient parallelization of the most common iterative sparse tensor decomposition algorithms on distributed memory systems. A key operation in each iteration of these algorithms is the matricized tensor times Khatri-Rao product (MTTKRP). This operation amounts to element-wise vector multiplication and reduction depending on the sparsity of the tensor. We investigate a fine and a coarse-grain task definition for this operation, and propose hypergraph partitioning-based methods… CONTINUE READING
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Matlab tensor toolbox version 2.6

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  • Available online,
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