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A 95.6-TOPS/W Deep Learning Inference Accelerator With Per-Vector Scaled 4-bit Quantization in 5 nm.

B. Keller, R. Venkatesan, S. Dai, S. Tell, B. Zimmer, C. Sakr, W. Dally, C. Gray, and B. Khailany. IEEE J. Solid State Circuits, 58 (4): 1129-1141 (2023)

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Charbel Hajjar

Hamed Sakr

Ibrahim Sakr

Charbel Ackermann

Yasser Sakr

Other publications of authors with the same name

Analytical Guarantees on Numerical Precision of Deep Neural Networks.C. Sakr, Y. Kim, and N. Shanbhag. ICML, volume 70 of Proceedings of Machine Learning Research, page 3007-3016. PMLR, (2017)Per-Tensor Fixed-Point Quantization of the Back-Propagation Algorithm.C. Sakr, and N. Shanbhag. CoRR, (2018)Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training.C. Sakr, S. Dai, R. Venkatesan, B. Zimmer, W. Dally, and B. Khailany. ICML, volume 162 of Proceedings of Machine Learning Research, page 19123-19138. PMLR, (2022)Per-Tensor Fixed-Point Quantization of the Back-Propagation Algorithm.C. Sakr, and N. Shanbhag. ICLR (Poster), OpenReview.net, (2019)PredictiveNet: An energy-efficient convolutional neural network via zero prediction.Y. Lin, C. Sakr, Y. Kim, and N. Shanbhag. ISCAS, page 1-4. IEEE, (2017)Minimum precision requirements for the SVM-SGD learning algorithm.C. Sakr, A. Patil, S. Zhang, Y. Kim, and N. Shanbhag. ICASSP, page 1138-1142. IEEE, (2017)A 0.44-μJ/dec, 39.9-μs/dec, Recurrent Attention In-Memory Processor for Keyword Spotting.H. Dbouk, S. Gonugondla, C. Sakr, and N. Shanbhag. IEEE J. Solid State Circuits, 56 (7): 2234-2244 (2021)Signal Processing Methods to Enhance the Energy Efficiency of In-Memory Computing Architectures.C. Sakr, and N. Shanbhag. IEEE Trans. Signal Process., (2021)Carrier-Sense Protocols for Packet-Switched Smart Antenna Basestations.C. Sakr, and T. Todd. Int. J. Wirel. Inf. Networks, 7 (3): 133-148 (2000)Carrier-sense protocols for packet-switched smart antenna basestations.C. Sakr, and T. Todd. ICNP, page 45-52. IEEE Computer Society, (1997)

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Disambiguation of "Sakr, Charbel"

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A 95.6-TOPS/W Deep Learning Inference Accelerator With Per-Vector Scaled 4-bit Quantization in 5 nm.

Please choose a person to relate this publication to

Charbel Hajjar

Hamed Sakr

Ibrahim Sakr

Charbel Ackermann

Yasser Sakr

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Sakr, Charbel"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A 95.6-TOPS/W Deep Learning Inference Accelerator With Per-Vector Scaled 4-bit Quantization in 5 nm.

Please choose a person to relate this publication to

Charbel Hajjar

Hamed Sakr

Ibrahim Sakr

Charbel Ackermann

Yasser Sakr

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

A 95.6-TOPS/W Deep Learning Inference Accelerator With Per-Vector Scaled 4-bit Quantization in 5 nm.