Joseph Hassoun

18 papers A* 4Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
PROV-IO$^+$+: A Cross-Platform Provenance Framework for Scientific Data on HPC Systems.
IEEE Trans. Parallel Distributed Syst.
Runzhou Han, Mai Zheng, Suren Byna, Houjun Tang, Bin Dong, Dong Dai, Yong Chen, Dongkyun Kim, Joseph Hassoun, David Thorsley
2023 J jnl
PROV-IO+: A Cross-Platform Provenance Framework for Scientific Data on HPC Systems.
CoRR
Runzhou Han, Mai Zheng, Suren Byna, Houjun Tang, Bin Dong, Dong Dai, Yong Chen, Dongkyun Kim, Joseph Hassoun, David Thorsley, Matthew Wolf
2022 A* conf
A Fast Post-Training Pruning Framework for Transformers.
NeurIPS
Woosuk Kwon, Sehoon Kim, Michael W. Mahoney, Joseph Hassoun, Kurt Keutzer, Amir Gholami
2022 J jnl
A Fast Post-Training Pruning Framework for Transformers.
CoRR
Woosuk Kwon, Sehoon Kim, Michael W. Mahoney, Joseph Hassoun, Kurt Keutzer, Amir Gholami
2022 J jnl
Algorithm/architecture solutions to improve beyond uniform quantization in embedded DNN accelerators.
J. Syst. Archit.
Ardavan Pedram, Ali Shafiee Ardestani, Ling Li, Hamzah Abdel-Aziz, Jun Fang, Joseph Hassoun
2022 A* conf
Griffin: Rethinking Sparse Optimization for Deep Learning Architectures.
HPCA
Jong Hoon Shin, Ali Shafiee, Ardavan Pedram, Hamzah Abdel-Aziz, Ling Li, Joseph Hassoun
2022 A* conf
Learned Token Pruning for Transformers.
KDD
Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Woosuk Kwon, Joseph Hassoun, Kurt Keutzer
2022 J jnl
MaiT: Leverage Attention Masks for More Efficient Image Transformers.
CoRR
Ling Li, Ali Shafiee Ardestani, Joseph Hassoun
2022 J jnl
SaiT: Sparse Vision Transformers through Adaptive Token Pruning.
CoRR
Ling Li, David Thorsley, Joseph Hassoun
2021 J jnl
Design Space Exploration of Sparse Accelerators for Deep Neural Networks.
CoRR
Jong Hoon Shin, Ali Shafiee, Ardavan Pedram, Hamzah Abdel-Aziz, Ling Li, Joseph Hassoun
2021 J jnl
Learned Token Pruning for Transformers.
CoRR
Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Joseph Hassoun, Kurt Keutzer
2021 — conf
Rethinking Floating Point Overheads for Mixed Precision DNN Accelerators.
MLSys
Hamzah Abdel-Aziz, Ali Shafiee, Jong Hoon Shin, Ardavan Pedram, Joseph Hassoun
2021 A* conf
Sparsity-Aware and Re-configurable NPU Architecture for Samsung Flagship Mobile SoC.
ISCA
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
2020 J jnl
Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation.
CoRR
Jun Fang, Ali Shafiee, Hamzah Abdel-Aziz, David Thorsley, Georgios Georgiadis, Joseph Hassoun
2020 — conf
Post-training Piecewise Linear Quantization for Deep Neural Networks.
ECCV (2)
Jun Fang, Ali Shafiee, Hamzah Abdel-Aziz, David Thorsley, Georgios Georgiadis, Joseph Hassoun
2009 — conf
Resiliency in Elemental Computing.
ARC
Joseph Hassoun
2008 — conf
A New Tact in Reconfigurable Computing Research.
ERSA
John Watson, Steven H. Kelem, Brian Box, Joseph Hassoun, Stephen Wasson, Bob Plunkett, Chris Phillips
2008 — conf
Elemental Computing for High Reliability.
ERSA
Joseph Hassoun, Steve Kelemjoseph, Brian Box, Stephen Wasson, Bob Plunkett, Chris Phillips