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},
}
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},
}
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