Omar Mohamed Awad

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Learning Models

Implementation Details

Neural Network Training

Top Venues

IEEE Trans. Inf. Forensics Secur.

Publications

Milos Nikolic, Ghouthi Boukli Hacene, Ciaran Bannon, Alberto Delmas Lascorz, Matthieu Courbariaux, Omar Mohamed Awad, Isak Edo Vivancos, Yoshua Bengio, Vincent Gripon, Andreas Moshovos
BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization. ISCAS (2024)
Foozhan Ataiefard, Walid Ahmed, Habib Hajimolahoseini, Saina Asani, Farnoosh Javadi, Mohammad Hassanpour, Omar Mohamed Awad, Austin Wen, Kangling Liu, Yang Liu
SkipViT: Speeding Up Vision Transformers with a Token-Level Skip Connection. CoRR (2024)
Omar Mohamed Awad, Habib Hajimolahoseini, Michael Lim, Gurpreet Gosal, Walid Ahmed, Yang Liu, Gordon Deng
Improving Resnet-9 Generalization Trained on Small Datasets. CoRR (2023)
Mohamed A. Elgammal, Omar Mohamed Awad, Isak Edo Vivancos, Andreas Moshovos, Vaughn Betz
cuSCNN : an Efficient CUDA Implementation of Sparse CNNs. HEART (2023)
Farnoosh Javadi, Walid Ahmed, Habib Hajimolahoseini, Foozhan Ataiefard, Mohammad Hassanpour, Saina Asani, Austin Wen, Omar Mohamed Awad, Kangling Liu, Yang Liu
GQKVA: Efficient Pre-training of Transformers by Grouping Queries, Keys, and Values. CoRR (2023)
Habib Hajimolahoseini, Omar Mohamed Awad, Walid Ahmed, Austin Wen, Saina Asani, Mohammad Hassanpour, Farnoosh Javadi, Mehdi Ahmadi, Foozhan Ataiefard, Kangling Liu, Yang Liu
SwiftLearn: A Data-Efficient Training Method of Deep Learning Models using Importance Sampling. CoRR (2023)
Omar Mohamed Awad, Mostafa Mahmoud, Isak Edo, Ali Hadi Zadeh, Ciaran Bannon, Anand Jayarajan, Gennady Pekhimenko, Andreas Moshovos
FPRaker: A Processing Element For Accelerating Neural Network Training. MICRO (2021)
Mostafa Mahmoud, Isak Edo Vivancos, Ali Hadi Zadeh, Omar Mohamed Awad, Gennady Pekhimenko, Jorge Albericio, Andreas Moshovos
TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training and Inference. CoRR (2020)
Mostafa Mahmoud, Isak Edo, Ali Hadi Zadeh, Omar Mohamed Awad, Gennady Pekhimenko, Jorge Albericio, Andreas Moshovos
TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training. MICRO (2020)
Ali Hadi Zadeh, Isak Edo, Omar Mohamed Awad, Andreas Moshovos
GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference. MICRO (2020)
Omar Mohamed Awad, Mostafa Mahmoud, Isak Edo Vivancos, Ali Hadi Zadeh, Ciaran Bannon, Anand Jayarajan, Gennady Pekhimenko, Andreas Moshovos
FPRaker: A Processing Element For Accelerating Neural Network Training. CoRR (2020)
Christian Kison, Omar Mohamed Awad, Marc Fyrbiak, Christof Paar
Security Implications of Intentional Capacitive Crosstalk. IEEE Trans. Inf. Forensics Secur. 14 (12) (2019)
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
ShapeShifter: Enabling Fine-Grain Data Width Adaptation in Deep Learning. MICRO (2019)