Omar Mohamed Awad

Orcid: 0000-0003-0676-5867

According to our database1, Omar Mohamed Awad authored at least 12 papers between 2019 and 2024.

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Bibliography

2024
SkipViT: Speeding Up Vision Transformers with a Token-Level Skip Connection.
CoRR, 2024

BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

2023
SwiftLearn: A Data-Efficient Training Method of Deep Learning Models using Importance Sampling.
CoRR, 2023

GQKVA: Efficient Pre-training of Transformers by Grouping Queries, Keys, and Values.
CoRR, 2023

Improving Resnet-9 Generalization Trained on Small Datasets.
CoRR, 2023

cuSCNN : an Efficient CUDA Implementation of Sparse CNNs.
Proceedings of the 13th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, 2023

2021
FPRaker: A Processing Element For Accelerating Neural Network Training.
Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

2020
TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training and Inference.
CoRR, 2020

GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference.
Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training.
Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

2019
Security Implications of Intentional Capacitive Crosstalk.
IEEE Trans. Inf. Forensics Secur., 2019

ShapeShifter: Enabling Fine-Grain Data Width Adaptation in Deep Learning.
Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019


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