CSR&RV: An Efficient Value Compression Format for Sparse Matrix-Vector Multiplication

Junjun Yan, Xinhai Chen, Jie Liu. CSR&RV: An Efficient Value Compression Format for Sparse Matrix-Vector Multiplication. In Shaoshan Liu, Xiaohui Wei, editors, Network and Parallel Computing - 19th IFIP WG 10.3 International Conference, NPC 2022, Jinan, China, September 24-25, 2022, Proceedings. Volume 13615 of Lecture Notes in Computer Science, pages 54-60, Springer, 2022. [doi]

@inproceedings{YanCL22-0,
  title = {CSR&RV: An Efficient Value Compression Format for Sparse Matrix-Vector Multiplication},
  author = {Junjun Yan and Xinhai Chen and Jie Liu},
  year = {2022},
  doi = {10.1007/978-3-031-21395-3_5},
  url = {https://doi.org/10.1007/978-3-031-21395-3_5},
  researchr = {https://researchr.org/publication/YanCL22-0},
  cites = {0},
  citedby = {0},
  pages = {54-60},
  booktitle = {Network and Parallel Computing - 19th IFIP WG 10.3 International Conference, NPC 2022, Jinan, China, September 24-25, 2022, Proceedings},
  editor = {Shaoshan Liu and Xiaohui Wei},
  volume = {13615},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-21395-3},
}