Omar Mohamed Awad

15 papers A* 4C 1Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	ECHO-LLaMA: Efficient Caching for High-Performance LLaMA Training. EMNLP (Industry Track) Maryam Dialameh, Rezaul Karim, Hossein Rajabzadeh, Omar Mohamed Awad, Boxing Chen, Hyock Ju Kwon, Walid Ahmed, Yang Liu
2025	J	`jnl`	ECHO-LLaMA: Efficient Caching for High-Performance LLaMA Training. CoRR Maryam Dialameh, Rezaul Karim, Hossein Rajabzadeh, Omar Mohamed Awad, Hyock Ju Kwon, Boxing Chen, Walid Ahmed, Yang Liu
2024	C	`conf`	BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization. ISCAS Milos Nikolic, Ghouthi Boukli Hacene, Ciaran Bannon, Alberto Delmas Lascorz, Matthieu Courbariaux, Omar Mohamed Awad, Isak Edo Vivancos, Yoshua Bengio, Vincent Gripon, Andreas Moshovos
2024	J	`jnl`	SkipViT: Speeding Up Vision Transformers with a Token-Level Skip Connection. CoRR Foozhan Ataiefard, Walid Ahmed, Habib Hajimolahoseini, Saina Asani, Farnoosh Javadi, Mohammad Hassanpour, Omar Mohamed Awad, Austin Wen, Kangling Liu, Yang Liu
2023	J	`jnl`	GQKVA: Efficient Pre-training of Transformers by Grouping Queries, Keys, and Values. CoRR Farnoosh Javadi, Walid Ahmed, Habib Hajimolahoseini, Foozhan Ataiefard, Mohammad Hassanpour, Saina Asani, Austin Wen, Omar Mohamed Awad, Kangling Liu, Yang Liu
2023	J	`jnl`	Improving Resnet-9 Generalization Trained on Small Datasets. CoRR Omar Mohamed Awad, Habib Hajimolahoseini, Michael Lim, Gurpreet Gosal, Walid Ahmed, Yang Liu, Gordon Deng
2023	J	`jnl`	SwiftLearn: A Data-Efficient Training Method of Deep Learning Models using Importance Sampling. CoRR Habib Hajimolahoseini, Omar Mohamed Awad, Walid Ahmed, Austin Wen, Saina Asani, Mohammad Hassanpour, Farnoosh Javadi, Mehdi Ahmadi, Foozhan Ataiefard, Kangling Liu, Yang Liu
2023	—	`conf`	cuSCNN : an Efficient CUDA Implementation of Sparse CNNs. HEART Mohamed A. Elgammal, Omar Mohamed Awad, Isak Edo Vivancos, Andreas Moshovos, Vaughn Betz
2021	A*	`conf`	FPRaker: A Processing Element For Accelerating Neural Network Training. MICRO Omar Mohamed Awad, Mostafa Mahmoud, Isak Edo, Ali Hadi Zadeh, Ciaran Bannon, Anand Jayarajan, Gennady Pekhimenko, Andreas Moshovos
2020	J	`jnl`	FPRaker: A Processing Element For Accelerating Neural Network Training. CoRR Omar Mohamed Awad, Mostafa Mahmoud, Isak Edo Vivancos, Ali Hadi Zadeh, Ciaran Bannon, Anand Jayarajan, Gennady Pekhimenko, Andreas Moshovos
2020	A*	`conf`	GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference. MICRO Ali Hadi Zadeh, Isak Edo, Omar Mohamed Awad, Andreas Moshovos
2020	J	`jnl`	TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training and Inference. CoRR Mostafa Mahmoud, Isak Edo Vivancos, Ali Hadi Zadeh, Omar Mohamed Awad, Gennady Pekhimenko, Jorge Albericio, Andreas Moshovos
2020	A*	`conf`	TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training. MICRO Mostafa Mahmoud, Isak Edo, Ali Hadi Zadeh, Omar Mohamed Awad, Gennady Pekhimenko, Jorge Albericio, Andreas Moshovos
2019	J	`jnl`	Security Implications of Intentional Capacitive Crosstalk. IEEE Trans. Inf. Forensics Secur. Christian Kison, Omar Mohamed Awad, Marc Fyrbiak, Christof Paar
2019	A*	`conf`	ShapeShifter: Enabling Fine-Grain Data Width Adaptation in Deep Learning. MICRO Alberto Delmas Lascorz, Sayeh Sharify, Isak Edo Vivancos, Dylan Malone Stuart, Omar Mohamed Awad, Patrick Judd, Mostafa Mahmoud, Milos Nikolic, Kevin Siu, Zissis Poulos, Andreas Moshovos