Hamzah Abdel-Aziz

According to our database, Hamzah Abdel-Aziz authored at least 13 papers between 2016 and 2022.

Collaborative distances:

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

2022

Algorithm/architecture solutions to improve beyond uniform quantization in embedded DNN accelerators.

Ardavan Pedram, Ali Shafiee Ardestani, Ling Li, Hamzah Abdel-Aziz, Jun Fang, Joseph Hassoun

J. Syst. Archit., 2022

Griffin: Rethinking Sparse Optimization for Deep Learning Architectures.

Jong Hoon Shin, Ali Shafiee, Ardavan Pedram, Hamzah Abdel-Aziz, Ling Li, Joseph Hassoun

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

2021

Design Space Exploration of Sparse Accelerators for Deep Neural Networks.

Jong Hoon Shin, Ali Shafiee, Ardavan Pedram, Hamzah Abdel-Aziz, Ling Li, Joseph Hassoun

CoRR, 2021

Rethinking Floating Point Overheads for Mixed Precision DNN Accelerators.

Hamzah Abdel-Aziz, Ali Shafiee, Jong Hoon Shin, Ardavan Pedram, Joseph Hassoun

Proceedings of Machine Learning and Systems 2021, 2021

Sparsity-Aware and Re-configurable NPU Architecture for Samsung Flagship Mobile SoC.

Jun-Woo Jang, Sehwan Lee, Dongyoung Kim, Hyunsun Park, Ali Shafiee Ardestani, Yeongjae Choi, Channoh Kim, Yoojin Kim, Hyeongseok Yu, Hamzah Abdel-Aziz, Jun-Seok Park, Heonsoo Lee, Dongwoo Lee, Myeong Woo Kim, Hanwoong Jung, Heewoo Nam, Dongguen Lim, Seungwon Lee, Joon-Ho Song, Suknam Kwon, Joseph Hassoun, Sukhwan Lim, Changkyu Choi

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

2020

Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation.

Jun Fang, Ali Shafiee, Hamzah Abdel-Aziz, David Thorsley, Georgios Georgiadis, Joseph Hassoun

CoRR, 2020

Post-training Piecewise Linear Quantization for Deep Neural Networks.

Jun Fang, Ali Shafiee, Hamzah Abdel-Aziz, David Thorsley, Georgios Georgiadis, Joseph Hassoun

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Simulation based evaluation of security and resilience in railway infrastructure.

Bradley Potteiger, Hamzah Abdel-Aziz, Himanshu Neema, Xenofon D. Koutsoukos

Proceedings of the 6th Annual Symposium on Hot Topics in the Science of Security, 2019

2018

A Data-Driven Approach for Modeling, Analysis and Control of Stochastic Hybrid Systems using Gaussian Processes.

Hamzah Abdel-Aziz

PhD thesis, 2018

Performance Interference-Aware Vertical Elasticity for Cloud-Hosted Latency-Sensitive Applications.

Shashank Shekhar, Hamzah Abdel-Aziz, Anirban Bhattacharjee, Aniruddha S. Gokhale, Xenofon D. Koutsoukos

Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017

Online Model Learning of Buildings Using Stochastic Hybrid Systems Based on Gaussian Processes.

Hamzah Abdel-Aziz, Xenofon D. Koutsoukos

J. Control. Sci. Eng., 2017

2016

A simulation as a service cloud middleware.

Shashank Shekhar, Hamzah Abdel-Aziz, Michael Walker, Faruk Caglar, Aniruddha S. Gokhale, Xenofon D. Koutsoukos

Ann. des Télécommunications, 2016

Learning and reachability analysis for stochastic hybrid systems using mixtures of Gaussian processes.

Hamzah Abdel-Aziz, Xenofon D. Koutsoukos

Proceedings of the 24th Mediterranean Conference on Control and Automation, 2016