HAND: A Hybrid Approach to Accelerate Non-contiguous Data Movement Using MPI Datatypes on GPU Clusters. Shi, R., Lu, X., Potluri, S., Hamidouche, K., Zhang, J., & Panda, D. K. In ICPP, pages 221-230, 2014. IEEE Computer Society.
HAND: A Hybrid Approach to Accelerate Non-contiguous Data Movement Using MPI Datatypes on GPU Clusters. [link]Link  HAND: A Hybrid Approach to Accelerate Non-contiguous Data Movement Using MPI Datatypes on GPU Clusters. [link]Paper  bibtex   
@inproceedings{conf/icpp/ShiLPHZP14,
  added-at = {2023-03-24T00:00:00.000+0100},
  author = {Shi, Rong and Lu, Xiaoyi and Potluri, Sreeram and Hamidouche, Khaled and Zhang, Jie and Panda, Dhabaleswar K.},
  biburl = {https://www.bibsonomy.org/bibtex/2ff6dead7dc3b11cc85e18ac240ea12f2/dblp},
  booktitle = {ICPP},
  crossref = {conf/icpp/2014},
  ee = {https://doi.ieeecomputersociety.org/10.1109/ICPP.2014.31},
  interhash = {bc5d4b2381f0be53aea9ebd6568a8c6d},
  intrahash = {ff6dead7dc3b11cc85e18ac240ea12f2},
  keywords = {dblp},
  pages = {221-230},
  publisher = {IEEE Computer Society},
  timestamp = {2024-04-10T13:37:57.000+0200},
  title = {HAND: A Hybrid Approach to Accelerate Non-contiguous Data Movement Using MPI Datatypes on GPU Clusters.},
  url = {http://dblp.uni-trier.de/db/conf/icpp/icpp2014.html#ShiLPHZP14},
  year = 2014
}

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