Sanmukh Kuppannagari

James C. Wyant Assistant Professor

Dynamap: Dynamic algorithm mapping framework for low latency cnn inference


Conference paper


Yuan Meng, Sanmukh Kuppannagari, Rajgopal Kannan, Viktor Prasanna
The 2021 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2021, pp. 183--193

Cite

Cite

APA   Click to copy
Meng, Y., Kuppannagari, S., Kannan, R., & Prasanna, V. (2021). Dynamap: Dynamic algorithm mapping framework for low latency cnn inference. In The 2021 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (pp. 183–193).


Chicago/Turabian   Click to copy
Meng, Yuan, Sanmukh Kuppannagari, Rajgopal Kannan, and Viktor Prasanna. “Dynamap: Dynamic Algorithm Mapping Framework for Low Latency Cnn Inference.” In The 2021 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 183–193, 2021.


MLA   Click to copy
Meng, Yuan, et al. “Dynamap: Dynamic Algorithm Mapping Framework for Low Latency Cnn Inference.” The 2021 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2021, pp. 183–93.


BibTeX   Click to copy

@inproceedings{meng2021a,
  title = {Dynamap: Dynamic algorithm mapping framework for low latency cnn inference},
  year = {2021},
  pages = {183--193},
  author = {Meng, Yuan and Kuppannagari, Sanmukh and Kannan, Rajgopal and Prasanna, Viktor},
  booktitle = {The 2021 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays}
}


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