A systematic approach to improving data locality across Fourier transforms and linear algebra operations

Doru-Thom Popovici, Andrew Canning, Zhengji Zhao, Lin-Wang Wang, John Shalf. A systematic approach to improving data locality across Fourier transforms and linear algebra operations. In Huiyang Zhou, Jose Moreira, Frank Mueller 0001, Yoav Etsion, editors, ICS '21: 2021 International Conference on Supercomputing, Virtual Event, USA, June 14-17, 2021. pages 329-341, ACM, 2021. [doi]

@inproceedings{PopoviciCZWS21,
  title = {A systematic approach to improving data locality across Fourier transforms and linear algebra operations},
  author = {Doru-Thom Popovici and Andrew Canning and Zhengji Zhao and Lin-Wang Wang and John Shalf},
  year = {2021},
  doi = {10.1145/3447818.3460354},
  url = {https://doi.org/10.1145/3447818.3460354},
  researchr = {https://researchr.org/publication/PopoviciCZWS21},
  cites = {0},
  citedby = {0},
  pages = {329-341},
  booktitle = {ICS '21: 2021 International Conference on Supercomputing, Virtual Event, USA, June 14-17, 2021},
  editor = {Huiyang Zhou and Jose Moreira and Frank Mueller 0001 and Yoav Etsion},
  publisher = {ACM},
  isbn = {978-1-4503-8335-6},
}