cfaed Publications

Design Methodology for Embedded Approximate Artificial Neural Networks

Reference

Adarsha Balaji, Salim Ullah, Anup Das, Akash Kumar, "Design Methodology for Embedded Approximate Artificial Neural Networks", Proceedings of the 2019 on Great Lakes Symposium on VLSI, ACM, pp. 489–494, New York, NY, USA, May 2019. [doi]

Bibtex

@inproceedings{Balaji:2019:DME:3299874.3319490,
author = {Balaji, Adarsha and Ullah, Salim and Das, Anup and Kumar, Akash},
title = {Design Methodology for Embedded Approximate Artificial Neural Networks},
booktitle = {Proceedings of the 2019 on Great Lakes Symposium on VLSI},
series = {GLSVLSI '19},
year = {2019},
month={May},
isbn = {978-1-4503-6252-8},
location = {Tysons Corner, VA, USA},
pages = {489--494},
numpages = {6},
url = {http://doi.acm.org/10.1145/3299874.3319490},
doi = {10.1145/3299874.3319490},
acmid = {3319490},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {approximate computing, artificial neural networks (anns), fpga},
}

Downloads

p489-balaji [PDF]

Permalink

https://cfaed.tu-dresden.de/publications?pubId=2469


Go back to publications list