Joseph Hassoun

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 15

Top Topics

Avoid Overfitting

Effective Pruning

Design Space Exploration

Top Venues

J. Syst. Archit.

Publications

Runzhou Han, Mai Zheng, Suren Byna, Houjun Tang, Bin Dong, Dong Dai, Yong Chen, Dongkyun Kim, Joseph Hassoun, David Thorsley
PROV-IO$^+$+: A Cross-Platform Provenance Framework for Scientific Data on HPC Systems. IEEE Trans. Parallel Distributed Syst. 35 (5) (2024)
Runzhou Han, Mai Zheng, Suren Byna, Houjun Tang, Bin Dong, Dong Dai, Yong Chen, Dongkyun Kim, Joseph Hassoun, David Thorsley, Matthew Wolf
PROV-IO+: A Cross-Platform Provenance Framework for Scientific Data on HPC Systems. CoRR (2023)
Ling Li, Ali Shafiee Ardestani, Joseph Hassoun
MaiT: Leverage Attention Masks for More Efficient Image Transformers. CoRR (2022)
Woosuk Kwon, Sehoon Kim, Michael W. Mahoney, Joseph Hassoun, Kurt Keutzer, Amir Gholami
A Fast Post-Training Pruning Framework for Transformers. NeurIPS (2022)
Woosuk Kwon, Sehoon Kim, Michael W. Mahoney, Joseph Hassoun, Kurt Keutzer, Amir Gholami
A Fast Post-Training Pruning Framework for Transformers. CoRR (2022)
Ling Li, David Thorsley, Joseph Hassoun
SaiT: Sparse Vision Transformers through Adaptive Token Pruning. CoRR (2022)
Ardavan Pedram, Ali Shafiee Ardestani, Ling Li, Hamzah Abdel-Aziz, Jun Fang, Joseph Hassoun
Algorithm/architecture solutions to improve beyond uniform quantization in embedded DNN accelerators. J. Syst. Archit. 126 (2022)
Jong Hoon Shin, Ali Shafiee, Ardavan Pedram, Hamzah Abdel-Aziz, Ling Li, Joseph Hassoun
Griffin: Rethinking Sparse Optimization for Deep Learning Architectures. HPCA (2022)
Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Woosuk Kwon, Joseph Hassoun, Kurt Keutzer
Learned Token Pruning for Transformers. KDD (2022)
Hamzah Abdel-Aziz, Ali Shafiee, Jong Hoon Shin, Ardavan Pedram, Joseph Hassoun
Rethinking Floating Point Overheads for Mixed Precision DNN Accelerators. MLSys (2021)
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
Sparsity-Aware and Re-configurable NPU Architecture for Samsung Flagship Mobile SoC. ISCA (2021)
Jong Hoon Shin, Ali Shafiee, Ardavan Pedram, Hamzah Abdel-Aziz, Ling Li, Joseph Hassoun
Design Space Exploration of Sparse Accelerators for Deep Neural Networks. CoRR (2021)
Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Joseph Hassoun, Kurt Keutzer
Learned Token Pruning for Transformers. CoRR (2021)
Jun Fang, Ali Shafiee, Hamzah Abdel-Aziz, David Thorsley, Georgios Georgiadis, Joseph Hassoun
Post-training Piecewise Linear Quantization for Deep Neural Networks. ECCV (2) (2020)
Jun Fang, Ali Shafiee, Hamzah Abdel-Aziz, David Thorsley, Georgios Georgiadis, Joseph Hassoun
Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation. CoRR (2020)
Joseph Hassoun
Resiliency in Elemental Computing. ARC (2009)
John Watson, Steven H. Kelem, Brian Box, Joseph Hassoun, Stephen Wasson, Bob Plunkett, Chris Phillips
A New Tact in Reconfigurable Computing Research. ERSA (2008)
Joseph Hassoun, Steve Kelemjoseph, Brian Box, Stephen Wasson, Bob Plunkett, Chris Phillips
Elemental Computing for High Reliability. ERSA (2008)