Conference paper
The 2021 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2021, pp. 183--193
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}
}