Mohamed A. Elgammal

According to our database, Mohamed A. Elgammal authored at least 15 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Koios 2.0: Open-Source Deep Learning Benchmarks for FPGA Architecture and CAD Research.

Aman Arora, Andrew Boutros, Seyed Alireza Damghani, Karan Mathur, Vedant Mohanty, Tanmay Anand, Mohamed A. Elgammal, Kenneth B. Kent, Vaughn Betz, Lizy K. John

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2023

Breaking Boundaries: Optimizing FPGA CAD with Flexible and Multi-threaded Re-Clustering.

Mohamed A. Elgammal, Vaughn Betz

Proceedings of the 13th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, 2023

cuSCNN : an Efficient CUDA Implementation of Sparse CNNs.

Mohamed A. Elgammal, Omar Mohamed Awad, Isak Edo Vivancos, Andreas Moshovos, Vaughn Betz

Proceedings of the 13th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, 2023

Respect the Difference: Reinforcement Learning for Heterogeneous FPGA Placement.

Fatemehsadat Mahmoudi, Mohamed A. Elgammal, Soheil Gholami Shahrouz, Kevin E. Murray, Vaughn Betz

Proceedings of the International Conference on Field Programmable Technology, 2023

VPR-Gym: A Platform for Exploring AI Techniques in FPGA Placement Optimization.

Ruichen Chen, Shengyao Lu, Mohamed A. Elgammal, Peter Chun, Vaughn Betz, Di Niu

Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023

2022

RLPlace: Using Reinforcement Learning and Smart Perturbations to Optimize FPGA Placement.

Mohamed A. Elgammal, Kevin E. Murray, Vaughn Betz

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Quality & Generality: A Flexible FPGA Re-Clustering Technique to Improve Packing and Placement.

Mohamed A. Elgammal, Vaughn Betz

Proceedings of the International Conference on Field-Programmable Technology, 2022

2021

Hardware Acceleration of High Sensitivity Power-Aware Epileptic Seizure Detection System Using Dynamic Partial Reconfiguration.

Heba Elhosary, Michael H. Zakhari, Mohamed A. Elgammal, Khaled A. Helal Kelany, Mohamed A. Abd El Ghany, Khaled N. Salama, Hassan Mostafa

IEEE Access, 2021

A 37-43GHz Two Way Current Combining Power Amplifier with 19.6-dBm P1dB for 5G Phased Arrays in 45nm-SOI CMOS.

Mohamed A. Elgammal, M. Weheiba, Mohamed M. R. Esmael, Mohamed A. Y. Abdalla, Ahmed N. Mohieldin

Proceedings of the 28th IEEE International Conference on Electronics, 2021

2020

SymbiFlow and VPR: An Open-Source Design Flow for Commercial and Novel FPGAs.

Kevin E. Murray, Mohamed A. Elgammal, Vaughn Betz, Tim Ansell, Keith Rothman, Alessandro Comodi

IEEE Micro, 2020

Learn to Place: FPGA Placement Using Reinforcement Learning and Directed Moves.

Mohamed A. Elgammal, Kevin E. Murray, Vaughn Betz

Proceedings of the International Conference on Field-Programmable Technology, 2020

2019

Low-Power Hardware Implementation of a Support Vector Machine Training and Classification for Neural Seizure Detection.

Heba Elhosary, Michael H. Zakhari, Mohamed A. Elgammal, Mohamed A. Abd El Ghany, Khaled N. Salama, Hassan Mostafa

IEEE Trans. Biomed. Circuits Syst., 2019

A Comparison of Artificial Neural Network(ANN) and Support Vector Machine(SVM) Classifiers for Neural Seizure Detection.

Mohamed A. Elgammal, Hassan Mostafa, Khaled N. Salama, Ahmed Nader Mohieldin

Proceedings of the 62nd IEEE International Midwest Symposium on Circuits and Systems, 2019

Optimal EEG Window Size for Neural Seizure Detection.

Aya Alzahy, Mohamed A. Elgammal, Haitham Mohammed, Hassan Mostafa

Proceedings of the 8th International Conference on Modern Circuits and Systems Technologies, 2019

2018

Linear and Nonlinear Feature Extraction for Neural Seizure Detection.

Mohamed A. Elgammal, Omar A. Elkhouly, Heba Elhosary, Mohamed Elsayed, Ahmed Nader Mohieldin, Khaled N. Salama, Hassan Mostafa

Proceedings of the IEEE 61st International Midwest Symposium on Circuits and Systems, 2018