Rima: An RDMA-Accelerated Model-Parallelized Solution to Large-Scale Matrix Factorization

Jinkun Geng, Dan Li, Shuai Wang. Rima: An RDMA-Accelerated Model-Parallelized Solution to Large-Scale Matrix Factorization. In 35th IEEE International Conference on Data Engineering, ICDE 2019, Macao, China, April 8-11, 2019. pages 100-111, IEEE, 2019. [doi]

@inproceedings{GengLW19-0,
  title = {Rima: An RDMA-Accelerated Model-Parallelized Solution to Large-Scale Matrix Factorization},
  author = {Jinkun Geng and Dan Li and Shuai Wang},
  year = {2019},
  doi = {10.1109/ICDE.2019.00018},
  url = {https://doi.org/10.1109/ICDE.2019.00018},
  researchr = {https://researchr.org/publication/GengLW19-0},
  cites = {0},
  citedby = {0},
  pages = {100-111},
  booktitle = {35th IEEE International Conference on Data Engineering, ICDE 2019, Macao, China, April 8-11, 2019},
  publisher = {IEEE},
  isbn = {978-1-5386-7474-1},
}