Exploring the Use of Dataflow Architectures for Graph Neural Network Workloads

Ryien Hosseini, Filippo Simini, Venkatram Vishwanath, Ramakrishnan Sivakumar, Sanjif Shanmugavelu, Zhengyu Chen, Lev Zlotnik, Mingran Wang, Philip Colangelo, Andrew Deng, Philip Lassen, Shukur Pathan. Exploring the Use of Dataflow Architectures for Graph Neural Network Workloads. In Amanda Bienz, Michèle Weiland, Marc Baboulin, Carola Kruse, editors, High Performance Computing - ISC High Performance 2023 International Workshops, Hamburg, Germany, May 21-25, 2023, Revised Selected Papers. Volume 13999 of Lecture Notes in Computer Science, pages 648-661, Springer, 2023. [doi]

@inproceedings{HosseiniSVSSCZWCDLP23,
  title = {Exploring the Use of Dataflow Architectures for Graph Neural Network Workloads},
  author = {Ryien Hosseini and Filippo Simini and Venkatram Vishwanath and Ramakrishnan Sivakumar and Sanjif Shanmugavelu and Zhengyu Chen and Lev Zlotnik and Mingran Wang and Philip Colangelo and Andrew Deng and Philip Lassen and Shukur Pathan},
  year = {2023},
  doi = {10.1007/978-3-031-40843-4_48},
  url = {https://doi.org/10.1007/978-3-031-40843-4_48},
  researchr = {https://researchr.org/publication/HosseiniSVSSCZWCDLP23},
  cites = {0},
  citedby = {0},
  pages = {648-661},
  booktitle = {High Performance Computing - ISC High Performance 2023 International Workshops, Hamburg, Germany, May 21-25, 2023, Revised Selected Papers},
  editor = {Amanda Bienz and Michèle Weiland and Marc Baboulin and Carola Kruse},
  volume = {13999},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-40843-4},
}