Heterogeneous Manycore Architectures Enabled by Processing-in-Memory for Deep Learning: From CNNs to GNNs: (ICCAD Special Session Paper)

Biresh Kumar Joardar, Aqeeb Iqbal Arka, Janardhan Rao Doppa, Partha Pratim Pande, Hai Li, Krishnendu Chakrabarty. Heterogeneous Manycore Architectures Enabled by Processing-in-Memory for Deep Learning: From CNNs to GNNs: (ICCAD Special Session Paper). In IEEE/ACM International Conference On Computer Aided Design, ICCAD 2021, Munich, Germany, November 1-4, 2021. pages 1-7, IEEE, 2021. [doi]

@inproceedings{JoardarADPLC21,
  title = {Heterogeneous Manycore Architectures Enabled by Processing-in-Memory for Deep Learning: From CNNs to GNNs: (ICCAD Special Session Paper)},
  author = {Biresh Kumar Joardar and Aqeeb Iqbal Arka and Janardhan Rao Doppa and Partha Pratim Pande and Hai Li and Krishnendu Chakrabarty},
  year = {2021},
  doi = {10.1109/ICCAD51958.2021.9643559},
  url = {https://doi.org/10.1109/ICCAD51958.2021.9643559},
  researchr = {https://researchr.org/publication/JoardarADPLC21},
  cites = {0},
  citedby = {0},
  pages = {1-7},
  booktitle = {IEEE/ACM International Conference On Computer Aided Design, ICCAD 2021, Munich, Germany, November 1-4, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-4507-8},
}