Mohamed M. Sabry Aly

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 28

Top Topics

Scalar Quantization

Energy Efficient

Multilayer Perceptron

Top Venues

Publications

Xue Geng, Zhe Wang, Chunyun Chen, Qing Xu, Kaixin Xu, Chao Jin, Manas Gupta, Xulei Yang, Zhenghua Chen, Mohamed M. Sabry Aly, Jie Lin, Min Wu, Xiaoli Li
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. CoRR (2024)
Chunyun Chen, Lantian Li, Mohamed M. Sabry Aly
ViTA: A Highly Efficient Dataflow and Architecture for Vision Transformers. DATE (2024)
Andrew M. Bartolo, Mohamed M. Sabry Aly, George Michelogiannakis, Subhasish Mitra
MC-ELMM: Multi-Chip Endurance-Limited Memory Management. MEMSYS (2023)
Saeed Seyedfaraji, Javad Talafy Daryani, Mohamed M. Sabry Aly, Semeen Rehman
EXTENT: Enabling Approximation-Oriented Energy Efficient STT-RAM Write Circuit. IEEE Access 10 (2022)
Umesh Chand, Mohamed M. Sabry Aly, Manohar Lal, Chen Chun-Kuei, Sonu Hooda, Shih-Hao Tsai, Zihang Fang, Hasita Veluri, Aaron Voon-Yew Thean
/V-s and1T-1RRAM Memory Cell Demonstration Memory Implications for Energy-Efficient Deep-Learning Computing. VLSI Technology and Circuits (2022)
Zhe Wang, Jie Lin, Xue Geng, Mohamed M. Sabry Aly, Vijay Chandrasekhar
RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization. ECCV (12) (2022)
Darayus Adil Patel, Viet Phuong Bui, Kevin Tshun Chuan Chai, Amit Lal, Mohamed M. Sabry Aly
SonicFFT: A system architecture for ultrasonic-based FFT acceleration. ASP-DAC (2022)
Chunyun Chen, Tianyi Zhang, Zehui Yu, Adithi Raghuraman, Shwetalaxmi Udayan, Jie Lin, Mohamed M. Sabry Aly
Scalable Hardware Acceleration of Non-Maximum Suppression. DATE (2022)
Peng Hu, Xi Peng, Hongyuan Zhu, Mohamed M. Sabry Aly, Jie Lin
OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization. CoRR (2022)
Tianyi Zhang, Jie Lin, Peng Hu, Bin Zhao, Mohamed M. Sabry Aly
PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS With Relationship Recovery. CVPR (2021)
Tianyi Zhang, Jie Lin, Peng Hu, Bin Zhao, Mohamed M. Sabry Aly
PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS with Relationship Recovery. CoRR (2021)
Peng Hu, Xi Peng, Hongyuan Zhu, Mohamed M. Sabry Aly, Jie Lin
OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization. AAAI (2021)
Wang Zhe, Jie Lin, Mohamed M. Sabry Aly, Sean I. Young, Vijay Chandrasekhar, Bernd Girod
Rate-Distortion Optimized Coding for Efficient CNN Compression. DCC (2021)
Chunyun Chen, Zhe Wang, Xiaowei Chen, Jie Lin, Mohamed M. Sabry Aly
Efficient Tunstall Decoder for Deep Neural Network Compression. DAC (2021)
Govind Narasimman, Kangkang Lu, Arun Raja, Chuan Sheng Foo, Mohamed M. Sabry Aly, Jie Lin, Vijay Chandrasekhar
A*HAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity Recognition. CoRR (2021)
Halima Najibi, Alexandre Levisse, Marina Zapater, Mohamed M. Sabry Aly, David Atienza
Towards Deeply Scaled 3D MPSoCs with Integrated Flow Cell Array Technology. ACM Great Lakes Symposium on VLSI (2020)
Kamalika Datta, Arko Dutt, Ahmed Zaky, Umesh Chand, Devendra Singh, Yida Li, Jackson Chun-Yang Huang, Aaron Thean, Mohamed M. Sabry Aly
Fledge: Flexible Edge Platforms Enabled by In-memory Computing. DATE (2020)
Abdallah M. Felfel, Kamalika Datta, Arko Dutt, Hasita Veluri, Ahmed Zaky, Aaron Voon-Yew Thean, Mohamed M. Sabry Aly
Quantifying the Benefits of Monolithic 3D Computing Systems Enabled by TFT and RRAM. DATE (2020)
Mohamed M. Sabry Aly
N3XT Monolithic 3D Energy-Efficient Computing Systems. ACM Great Lakes Symposium on VLSI (2019)
Lile Cai, Bin Zhao, Zhe Wang, Jie Lin, Chuan Sheng Foo, Mohamed M. Sabry Aly, Vijay Chandrasekhar
MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors. CVPR (2019)
Tony F. Wu, Binh Q. Le, Robert Radway, Andrew Bartolo, William Hwang, Seungbin Jeong, Haitong Li, Pulkit Tandon, Elisa Vianello, Pascal Vivet, Etienne Nowak, Mary Wootters, H.-S. Philip Wong, Mohamed M. Sabry Aly, Edith Beigné, Subhasish Mitra
A 43pJ/Cycle Non-Volatile Microcontroller with 4.7μs Shutdown/Wake-up Integrating 2.3-bit/Cell Resistive RAM and Resilience Techniques. ISSCC (2019)
Mohamed M. Sabry Aly, Tony F. Wu, Andrew Bartolo, Yash H. Malviya, William Hwang, Gage Hills, Igor L. Markov, Mary Wootters, Max M. Shulaker, H.-S. Philip Wong, Subhasish Mitra
The N3XT Approach to Energy-Efficient Abundant-Data Computing. Proc. IEEE 107 (1) (2019)
Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed M. Sabry Aly, Christopher J. Pal, Vijay Chandrasekhar
Dataflow-Based Joint Quantization for Deep Neural Networks. DCC (2019)
Lile Cai, Anne-Maelle Barneche, Arthur Herbout, Chuan Sheng Foo, Jie Lin, Vijay Ramaseshan Chandrasekhar, Mohamed M. Sabry Aly
TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks. ISLPED (2019)
Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed M. Sabry Aly, Christopher J. Pal, Vijay Chandrasekhar
Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks. CoRR (2019)
Xue Geng, Jie Lin, Bin Zhao, Anmin Kong, Mohamed M. Sabry Aly, Vijay Chandrasekhar
Hardware-Aware Softmax Approximation for Deep Neural Networks. ACCV (4) (2018)
William Hwang, Mohamed M. Sabry Aly, Yash H. Malviya, Mingyu Gao, Tony F. Wu, Christos Kozyrakis, H.-S. Philip Wong, Subhasish Mitra
abundant-data computing: special session paper. CODES+ISSS (2017)
Rubén Braojos, David Atienza, Mohamed M. Sabry Aly, Tony F. Wu, H.-S. Philip Wong, Subhasish Mitra, Giovanni Ansaloni
Nano-engineered architectures for ultra-low power wireless body sensor nodes. CODES+ISSS (2016)