Segmented Merge: A New Primitive for Parallel Sparse Matrix Computations

Haonan Ji, Shibo Lu, Kaixi Hou, Hao Wang, Weifeng Liu, Brian Vinter

Open source

DOI: 10.1007/978-3-030-79478-1_15
Published: 2021
Container: Not recorded
Publisher: Springer International Publishing
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/978-3-030-79478-1_15,
  title = {Segmented Merge: A New Primitive for Parallel Sparse Matrix Computations},
  author = {Haonan Ji and Shibo Lu and Kaixi Hou and Hao Wang and Weifeng Liu and Brian Vinter},
  year = {2021},
  doi = {10.1007/978-3-030-79478-1_15},
  url = {https://doi.org/10.1007/978-3-030-79478-1_15}
}

RIS

TY  - JOUR
TI  - Segmented Merge: A New Primitive for Parallel Sparse Matrix Computations
AU  - Haonan Ji
AU  - Shibo Lu
AU  - Kaixi Hou
AU  - Hao Wang
AU  - Weifeng Liu
AU  - Brian Vinter
PY  - 2021
DO  - 10.1007/978-3-030-79478-1_15
UR  - https://doi.org/10.1007/978-3-030-79478-1_15
ER  -

APA

Ji, H., Lu, S., Hou, K., Wang, H., Liu, W., & Vinter, B. (2021). Segmented Merge: A New Primitive for Parallel Sparse Matrix Computations. https://doi.org/10.1007/978-3-030-79478-1_15

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hal · retrieved 2026-09-25T10:38:11.231Z