heFFTe: Highly Efficient FFT for Exascale

Alan Ayala, Stanimire Tomov, Azzam Haidar, Jack J. Dongarra. heFFTe: Highly Efficient FFT for Exascale. In Valeria V. Krzhizhanovskaya, Gábor Závodszky, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot, Sérgio Brissos, João Teixeira, editors, Computational Science - ICCS 2020 - 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part I. Volume 12137 of Lecture Notes in Computer Science, pages 262-275, Springer, 2020. [doi]

@inproceedings{AyalaTHD20,
  title = {heFFTe: Highly Efficient FFT for Exascale},
  author = {Alan Ayala and Stanimire Tomov and Azzam Haidar and Jack J. Dongarra},
  year = {2020},
  doi = {10.1007/978-3-030-50371-0_19},
  url = {https://doi.org/10.1007/978-3-030-50371-0_19},
  researchr = {https://researchr.org/publication/AyalaTHD20},
  cites = {0},
  citedby = {0},
  pages = {262-275},
  booktitle = {Computational Science - ICCS 2020 - 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part I},
  editor = {Valeria V. Krzhizhanovskaya and Gábor Závodszky and Michael Harold Lees and Jack J. Dongarra and Peter M. A. Sloot and Sérgio Brissos and João Teixeira},
  volume = {12137},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-50371-0},
}