Joseph Hassoun

According to our database, Joseph Hassoun authored at least 17 papers between 2008 and 2024.

Collaborative distances:

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

2024

PROV-IO$^+$+: A Cross-Platform Provenance Framework for Scientific Data on HPC Systems.

Runzhou Han, Mai Zheng, Suren Byna, Houjun Tang, Bin Dong, Dong Dai, Yong Chen, Dongkyun Kim, Joseph Hassoun, David Thorsley

IEEE Trans. Parallel Distributed Syst., May, 2024

2023

PROV-IO+: A Cross-Platform Provenance Framework for Scientific Data on HPC Systems.

Runzhou Han, Mai Zheng, Suren Byna, Houjun Tang, Bin Dong, Dong Dai, Yong Chen, Dongkyun Kim, Joseph Hassoun, David Thorsley, Matthew Wolf

CoRR, 2023

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

SaiT: Sparse Vision Transformers through Adaptive Token Pruning.

Ling Li, David Thorsley, Joseph Hassoun

CoRR, 2022

MaiT: Leverage Attention Masks for More Efficient Image Transformers.

Ling Li, Ali Shafiee Ardestani, Joseph Hassoun

CoRR, 2022

A Fast Post-Training Pruning Framework for Transformers.

Woosuk Kwon, Sehoon Kim, Michael W. Mahoney, Joseph Hassoun, Kurt Keutzer, Amir Gholami

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learned Token Pruning for Transformers.

Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Woosuk Kwon, Joseph Hassoun, Kurt Keutzer

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 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

Learned Token Pruning for Transformers.

Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Joseph Hassoun, Kurt Keutzer

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

2009

Resiliency in Elemental Computing.

Joseph Hassoun

Proceedings of the Reconfigurable Computing: Architectures, 2009

2008

A New Tact in Reconfigurable Computing Research.

John Watson, Steven H. Kelem, Brian Box, Joseph Hassoun, Stephen Wasson, Bob Plunkett, Chris Phillips

Proceedings of the 2008 International Conference on Engineering of Reconfigurable Systems & Algorithms, 2008

Elemental Computing for High Reliability.

Joseph Hassoun, Steve Kelemjoseph, Brian Box, Stephen Wasson, Bob Plunkett, Chris Phillips

Proceedings of the 2008 International Conference on Engineering of Reconfigurable Systems & Algorithms, 2008