OpTIFlow - An optimized end-to-end dataflow for accelerating deep learning workloads on heterogeneous SoCs

Shyam Jagannathan, Vijay Pothukuchi, Jesse Villarreal, Kumar Desappan, Manu Mathew, Rahul Ravikumar, Aniket Limaye, Mihir Mody, Pramod Swami, Piyali Goswami, Carlos Rodriguez, Emmanuel Madrigal, Marco Herrera. OpTIFlow - An optimized end-to-end dataflow for accelerating deep learning workloads on heterogeneous SoCs. In Autonomous Vehicles and Machines 2023, San Francisco, CA, USA, January 15-19, 2023. pages 113-1, Society for Imaging Science and Technology, 2023. [doi]

@inproceedings{JagannathanPVDM23,
  title = {OpTIFlow - An optimized end-to-end dataflow for accelerating deep learning workloads on heterogeneous SoCs},
  author = {Shyam Jagannathan and Vijay Pothukuchi and Jesse Villarreal and Kumar Desappan and Manu Mathew and Rahul Ravikumar and Aniket Limaye and Mihir Mody and Pramod Swami and Piyali Goswami and Carlos Rodriguez and Emmanuel Madrigal and Marco Herrera},
  year = {2023},
  doi = {10.2352/EI.2023.35.16.AVM-113},
  url = {https://doi.org/10.2352/EI.2023.35.16.AVM-113},
  researchr = {https://researchr.org/publication/JagannathanPVDM23},
  cites = {0},
  citedby = {0},
  pages = {113},
  booktitle = {Autonomous Vehicles and Machines 2023, San Francisco, CA, USA, January 15-19, 2023},
  publisher = {Society for Imaging Science and Technology},
}