Sparse Tensor Factorization on Many-Core Processors with High-Bandwidth Memory

@article{Smith2017SparseTF,
  title={Sparse Tensor Factorization on Many-Core Processors with High-Bandwidth Memory},
  author={Shaden Smith and Jongsoo Park and George Karypis},
  journal={2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS)},
  year={2017},
  pages={1058-1067}
}
HPC systems are increasingly used for data intensive computations which exhibit irregular memory accesses, non-uniform work distributions, large memory footprints, and high memory bandwidth demands. To address these challenging demands, HPC systems are turning to many-core architectures that feature a large number of energy-efficient cores backed by high-bandwidth memory. These features are exemplified in Intel's recent Knights Landing many-core processor (KNL), which typically has 68 cores and… CONTINUE READING
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