Combining Task- and Data-Level Parallelism for High-Throughput CNN Inference on Embedded CPUs-GPUs MPSoCs

Svetlana Minakova, Erqian Tang, Todor P. Stefanov. Combining Task- and Data-Level Parallelism for High-Throughput CNN Inference on Embedded CPUs-GPUs MPSoCs. In Alex Orailoglu, Matthias Jung 0001, Marc Reichenbach, editors, Embedded Computer Systems: Architectures, Modeling, and Simulation - 20th International Conference, SAMOS 2020, Samos, Greece, July 5-9, 2020, Proceedings. Volume 12471 of Lecture Notes in Computer Science, pages 18-35, Springer, 2020. [doi]

@inproceedings{MinakovaTS20,
  title = {Combining Task- and Data-Level Parallelism for High-Throughput CNN Inference on Embedded CPUs-GPUs MPSoCs},
  author = {Svetlana Minakova and Erqian Tang and Todor P. Stefanov},
  year = {2020},
  doi = {10.1007/978-3-030-60939-9_2},
  url = {https://doi.org/10.1007/978-3-030-60939-9_2},
  researchr = {https://researchr.org/publication/MinakovaTS20},
  cites = {0},
  citedby = {0},
  pages = {18-35},
  booktitle = {Embedded Computer Systems: Architectures, Modeling, and Simulation - 20th International Conference, SAMOS 2020, Samos, Greece, July 5-9, 2020, Proceedings},
  editor = {Alex Orailoglu and Matthias Jung 0001 and Marc Reichenbach},
  volume = {12471},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-60939-9},
}