MatRox: modular approach for improving data locality in hierarchical (Mat)rix App(Rox)imation. Liu, B., Cheshmi, K., Soori, S., Strout, M. M., & Dehnavi, M. M. In Gupta, R. & Shen, X., editors, PPoPP '20: 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, San Diego, California, USA, February 22-26, 2020, pages 389–402, 2020. ACM.
MatRox: modular approach for improving data locality in hierarchical (Mat)rix App(Rox)imation [link]Paper  doi  bibtex   2 downloads  
@inproceedings{DBLP:conf/ppopp/LiuCSSD20,
  author       = {Bangtian Liu and
                  Kazem Cheshmi and
                  Saeed Soori and
                  Michelle Mills Strout and
                  Maryam Mehri Dehnavi},
  editor       = {Rajiv Gupta and
                  Xipeng Shen},
  title        = {MatRox: modular approach for improving data locality in hierarchical
                  (Mat)rix App(Rox)imation},
  booktitle    = {PPoPP '20: 25th {ACM} {SIGPLAN} Symposium on Principles and Practice
                  of Parallel Programming, San Diego, California, USA, February 22-26,
                  2020},
  pages        = {389--402},
  publisher    = {{ACM}},
  year         = {2020},
  url          = {https://doi.org/10.1145/3332466.3374548},
  doi          = {10.1145/3332466.3374548},
  timestamp    = {Sun, 12 Jun 2022 19:46:08 +0200},
  biburl       = {https://dblp.org/rec/conf/ppopp/LiuCSSD20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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