Shuaiwen Song

22 papers A* 3A 3B 2C 1Misc 1Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2024 A* conf
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning.
NeurIPS
Yibo Yang, Xiaojie Li, Zhongzhu Zhou, Shuaiwen Song, Jianlong Wu, Liqiang Nie, Bernard Ghanem
2024 J jnl
MalFox: Camouflaged Adversarial Malware Example Generation Based on Conv-GANs Against Black-Box Detectors.
IEEE Trans. Computers
Fangtian Zhong, Xiuzhen Cheng, Dongxiao Yu, Bei Gong, Shuaiwen Song, Jiguo Yu
2023 A conf
Mitigating Coupling Map Constrained Correlated Measurement Errors on Quantum Devices.
SC
Alan Robertson, Shuaiwen Song
2022 J jnl
DynamAP: Architectural Support for Dynamic Graph Traversal on the Automata Processor.
ACM Trans. Archit. Code Optim.
Yiding Liu, Xingyao Zhang, Donglin Zhuang, Xin Fu, Shuaiwen Song
2022 — conf
Randomness in Neural Network Training: Characterizing the Impact of Tooling.
MLSys
Donglin Zhuang, Xingyao Zhang, Shuaiwen Song, Sara Hooker
2021 J jnl
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression.
Proc. VLDB Endow.
Sian Jin, Chengming Zhang, Xintong Jiang, Yunhe Feng, Hui Guan, Guanpeng Li, Shuaiwen Song, Dingwen Tao
2020 J jnl
MalFox: Camouflaged Adversarial Malware Example Generation Based on C-GANs Against Black-Box Detectors.
CoRR
Fangtian Zhong, Xiuzhen Cheng, Dongxiao Yu, Bei Gong, Shuaiwen Song, Jiguo Yu
2019 A* conf
PIM-VR: Erasing Motion Anomalies In Highly-Interactive Virtual Reality World with Customized Memory Cube.
HPCA
Chenhao Xie, Xingyao Zhang, Ang Li, Xin Fu, Shuaiwen Song
2018 A* conf
Perception-Oriented 3D Rendering Approximation for Modern Graphics Processors.
HPCA
Chenhao Xie, Xin Fu, Shuaiwen Song
2015 — conf
Gregarious Data Re-structuring in a Many Core Architecture.
HPCC/CSS/ICESS
Sunil Shrestha, Joseph B. Manzano, Andrés Márquez, Stéphane Zuckerman, Shuaiwen Song, Guang R. Gao
2014 J jnl
Extending PowerPack for Profiling and Analysis of High-Performance Accelerator-Based Systems.
Parallel Process. Lett.
Bo Li, Hung-Ching Chang, Shuaiwen Song, Chun-Yi Su, Timmy Meyer, John Mooring, Kirk W. Cameron
2014 — conf
The Power-Performance Tradeoffs of the Intel Xeon Phi on HPC Applications.
IPDPS Workshops
Bo Li, Hung-Ching Chang, Shuaiwen Song, Chun-Yi Su, Timmy Meyer, John Mooring, Kirk W. Cameron
2013 A conf
A Simplified and Accurate Model of Power-Performance Efficiency on Emergent GPU Architectures.
IPDPS
Shuaiwen Song, Chun-Yi Su, Barry Rountree, Kirk W. Cameron
2013 J jnl
Designing energy efficient communication runtime systems: a view from PGAS models.
J. Supercomput.
Abhinav Vishnu, Shuaiwen Song, Andres Marquez, Kevin J. Barker, Darren J. Kerbyson, Kirk W. Cameron, Pavan Balaji
2012 B conf
Energy-Aware Replica Selection for Data-Intensive Services in Cloud.
MASCOTS
Bo Li, Shuaiwen Song, Ivona Bezáková, Kirk W. Cameron
2012 B conf
System-level power-performance efficiency modeling for emergent GPU architectures.
PACT
Shuaiwen Song, Kirk W. Cameron
2011 C conf
An ISO-Energy-Efficient Approach to Scalable System Power-Performance Optimization.
CLUSTER
Shuaiwen Song, Matthew Grove, Kirk W. Cameron
2011 A conf
Iso-Energy-Efficiency: An Approach to Power-Constrained Parallel Computation.
IPDPS
Shuaiwen Song, Chun-Yi Su, Rong Ge, Abhinav Vishnu, Kirk W. Cameron
2010 — conf
Designing Energy Efficient Communication Runtime Systems for Data Centric Programming Models.
GreenCom/CPSCom
Abhinav Vishnu, Shuaiwen Song, Andres Marquez, Kevin J. Barker, Darren J. Kerbyson, Kirk W. Cameron, Pavan Balaji
2010 Misc conf
Fault-tolerant communication runtime support for data-centric programming models.
HiPC
Abhinav Vishnu, Huub J. J. Van Dam, Wibe de Jong, Pavan Balaji, Shuaiwen Song
2010 J jnl
PowerPack: Energy Profiling and Analysis of High-Performance Systems and Applications.
IEEE Trans. Parallel Distributed Syst.
Rong Ge, Xizhou Feng, Shuaiwen Song, Hung-Ching Chang, Dong Li, Kirk W. Cameron
2009 J jnl
Energy Profiling and Analysis of the HPC Challenge Benchmarks.
Int. J. High Perform. Comput. Appl.
Shuaiwen Song, Rong Ge, Xizhou Feng, Kirk W. Cameron