MeNDA: a near-memory multi-way merge solution for sparse transposition and dataflows

Siying Feng, Xin He, Kuan-Yu Chen, Liu Ke, Xuan Zhang 0001, David T. Blaauw, Trevor N. Mudge, Ronald G. Dreslinski. MeNDA: a near-memory multi-way merge solution for sparse transposition and dataflows. In Valentina Salapura, Mohamed Zahran 0001, Fred Chong, Lingjia Tang, editors, ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18 - 22, 2022. pages 245-258, ACM, 2022. [doi]

@inproceedings{FengHCK0BMD22,
  title = {MeNDA: a near-memory multi-way merge solution for sparse transposition and dataflows},
  author = {Siying Feng and Xin He and Kuan-Yu Chen and Liu Ke and Xuan Zhang 0001 and David T. Blaauw and Trevor N. Mudge and Ronald G. Dreslinski},
  year = {2022},
  doi = {10.1145/3470496.3527432},
  url = {https://doi.org/10.1145/3470496.3527432},
  researchr = {https://researchr.org/publication/FengHCK0BMD22},
  cites = {0},
  citedby = {0},
  pages = {245-258},
  booktitle = {ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18 - 22, 2022},
  editor = {Valentina Salapura and Mohamed Zahran 0001 and Fred Chong and Lingjia Tang},
  publisher = {ACM},
  isbn = {978-1-4503-8610-4},
}