Mohamed M. Sabry Aly

Author

Also Known As

Aly, Mohamed M. Sabry, Aly, Mohamed Mostafa Sabry, Aly, Mohamed Sabry, Mohamed Aly, Mohamed M Sabry Aly, Mohamed M. Sabry Aly

Publications

734

Citations

H-Index

Concepts

All Affiliations

Nanyang Technological University Stanford University Agency for Science, Technology and Research Sichuan University Laboratoire d'Électronique des Technologies de l'Information

About

Mohamed M. Sabry Aly is an author at Nanyang Technological University specializing in computer science, engineering, and computer engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	8	8	491
2	Computer Engineering	8	8	491
3	Computer Science	8	8	491
4	Data Science	2	2	338
5	Applied Physics	1	1	122

Mohamed M. Sabry Aly

Publications

534

Citations

H-Index

Page 1

	Year	Citations
Energy-Efficient Abundant-Data Computing: The N3XT 1,000x Mohamed M. Sabry Aly, Mingyu Gao, Gage Hills, Computer Cluster ComputingMemory TechnologiesEngineeringEnergy EfficiencyComputer Architecture	2015	216
The N3XT Approach to Energy-Efficient Abundant-Data Computing Mohamed M. Sabry Aly, Tony F. Wu, Andrew Bartolo, Proceedings of the IEEE Cluster ComputingN3xt Hardware PrototypesEngineeringComputer ArchitectureNanocomputing	2018	122
OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization Peng Hu, Xi Peng, Hongyuan Zhu, Proceedings of the AAAI Conference on Artificial Intelligence Deep Neural NetworksEngineeringMachine LearningEdge ComputingSparse Neural Network	2021	57
14.3 A 43pJ/Cycle Non-Volatile Microcontroller with 4.7μs Shutdown/Wake-up Integrating 2.3-bit/Cell Resistive RAM and Resilience Techniques Tony F. Wu, Binh Le, Robert M. Radway, Non-volatile MemoryEngineeringEmerging Memory TechnologyComputer ArchitectureMs Latency	2019	33
Illusion of large on-chip memory by networked computing chips for neural network inference Robert M. Radway, Andrew Bartolo, Paul C. Jolly, Nature Electronics EngineeringComputational NeuroscienceNeurocomputersLarge On-chip MemoryComputer Architecture	2021	24
TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks Lile Cai, Anne-Maelle Barneche, Arthur Herbout, Energy ConsumptionConvolutional Neural NetworkDeep Neural NetworksEngineeringMachine Learning	2019	18
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks Xue Geng, Zhe Wang, Chunyun Chen, IEEE Transactions on Neural Networks and Learning Systems	2024	12
SonicFFT: A system architecture for ultrasonic-based FFT acceleration Darayus Adil Patel, Viet Phuong Bui, Kevin Tshun Chuan Chai, 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC) AeroacousticsEngineeringSound RenderingComputer ArchitectureSystem-level Design	2022	11
Sub-10nm Ultra-thin ZnO Channel FET with Record-High 561 µA/µm I<sub>ON</sub> at V<sub>DS</sub> 1V, High µ-84 cm<sup>2</sup>/V-s and1T-1RRAM Memory Cell Demonstration Memory Implications for Energy-Efficient Deep-Learning Computing Umesh Chand, Mohamed M. Sabry Aly, Chun-Kuei Chen, 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)	2022	11
3D nanosystems enable <i>embedded</i> abundant-data computing William Hwang, Mohamed M. Sabry Aly, Yash H. Malviya, Electrical EngineeringEngineeringThree-dimensional Heterogeneous IntegrationNanodevicesNanotechnology	2017	10

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