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Fundamental Limits on Energy-Delay-Accuracy of In-memory Architectures in Inference Applications

Dec 25, 2020
Sujan Kumar Gonugondla, Charbel Sakr, Hassan Dbouk, Naresh R. Shanbhag

* 14 pages, 13 figures 

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HarDNN: Feature Map Vulnerability Evaluation in CNNs

Feb 25, 2020
Abdulrahman Mahmoud, Siva Kumar Sastry Hari, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh Shanbhag, Pavlo Molchanov, Michael B. Sullivan, Timothy Tsai, Stephen W. Keckler

* 14 pages, 5 figures, a short version accepted for publication in First Workshop on Secure and Resilient Autonomy (SARA) co-located with MLSys2020 

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Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks

Jan 19, 2019
Charbel Sakr, Naigang Wang, Chia-Yu Chen, Jungwook Choi, Ankur Agrawal, Naresh Shanbhag, Kailash Gopalakrishnan

* Published as a conference paper in ICLR 2019 

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Per-Tensor Fixed-Point Quantization of the Back-Propagation Algorithm

Dec 31, 2018
Charbel Sakr, Naresh Shanbhag

* Published as a conference paper in ICLR 2019 

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Understanding the Energy and Precision Requirements for Online Learning

Aug 26, 2016
Charbel Sakr, Ameya Patil, Sai Zhang, Yongjune Kim, Naresh Shanbhag

* 14 pages, 5 figures 4 of which have 2 subfigures 

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