Charbel Sakr  

 



  ![](/sites/default/files/person/c_sakr.jpg)

  

 Charbel Received his PhD (2021) from the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign. His research interests are in resource-constrained machine learning, with a particular focus on analysis and implementation of reduced precision models and algorithms and their co-design with machine learning accelerator hardware.



   Research Area(s)

[Artificial Intelligence and Machine Learning ](/index.php/research-area/machine-learning-artificial-intelligence)

[Circuits and VLSI Design](/index.php/research-area/circuits)

 

 

  

 Main Field of Interest

[Artificial Intelligence and Machine Learning ](/index.php/research-area/machine-learning-artificial-intelligence)

 

  

 Google Scholar

[https://scholar.google.com/citations?user=Ks1WOEUAAAAJ&hl=en&oi=ao](https://scholar.google.com/citations?user=Ks1WOEUAAAAJ&hl=en&oi=ao)

 

  

 

 

 



 ### Publications

 

### 2023 

[VaPr: Variable-Precision Tensors to Accelerate Robot Motion Planning](/publication/2023-10_vapr-variable-precision-tensors-accelerate-robot-motion-planning)

Yu-Shun Hsiao, [Siva Hari](/person/siva-hari), [Balakumar Sundaralingam](/person/balakumar-sundaralingam), Jason Yik, Thierry Tambe, [Charbel Sakr](/person/charbel-sakr), [Steve Keckler](/person/stephen-keckler), Vijay Janapa Reddi



[IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023)](https://ieee-iros.org/)









[A 95.6-TOPS/W Deep Learning Inference Accelerator With Per-Vector Scaled 4-bit Quantization in 5 nm](/publication/2023-01_956-topsw-deep-learning-inference-accelerator-vector-scaled-4-bit-quantization)

[Ben Keller](/person/ben-keller), [Rangharajan Venkatesan](/person/rangharajan-venkatesan), [Steve Dai](/person/steve-dai), [Stephen Tell](/person/stephen-tell), [Brian Zimmer](/person/brian-zimmer), [Charbel Sakr](/person/charbel-sakr), [William Dally](/person/william-dally), [Tom Gray](/person/tom-gray), [Brucek Khailany](/person/brucek-khailany)



[Journal of Solid-State Circuits](https://ieeexplore.ieee.org/document/10019275)









### 2022 

[Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training](/publication/2022-07_optimal-clipping-and-magnitude-aware-differentiation-improved-quantization)

[Charbel Sakr](/person/charbel-sakr), [Steve Dai](/person/steve-dai), [Rangharajan Venkatesan](/person/rangharajan-venkatesan), [Brian Zimmer](/person/brian-zimmer), [Brucek Khailany](/person/brucek-khailany), [William Dally](/person/william-dally)



[2022 International Conference on Machine Learning (ICML)](https://arxiv.org/abs/2206.06501)









### 2021 

[Optimizing Selective Protection for CNN Resilience](/publication/2021-10_optimizing-selective-protection-cnn-resilience)

Abdulrahman Mahmoud, [Siva Hari](/person/siva-hari), Christopher W. Fletcher, Sarita V. Adve, [Charbel Sakr](/person/charbel-sakr), Naresh Shanbhag, [Pavlo Molchanov](/person/pavlo-molchanov), [Michael B. Sullivan](/person/mike-sullivan), Timothy Tsai, [Steve Keckler](/person/stephen-keckler)



[International Symposium on Software Reliability Engineering (ISSRE)](https://ieeexplore.ieee.org/document/9700317)









### 2020 

[HarDNN: Feature Map Vulnerability Evaluation in CNNs](/publication/2020-02_hardnn-feature-map-vulnerability-evaluation-cnns)

Abdulrahman Mahmoud, [Siva Hari](/person/siva-hari), Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh Shanbhag, [Pavlo Molchanov](/person/pavlo-molchanov), [Michael B. Sullivan](/person/mike-sullivan), Timothy Tsai, [Steve Keckler](/person/stephen-keckler)



[arXiv](https://arxiv.org/abs/2002.09786)