Louis Feng

29 papers A* 5A 1B 2C 1Misc 1Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
Lumos: Efficient Performance Modeling and Estimation for Large-scale LLM Training.
MLSys
Mingyu Liang, Hiwot Tadese Kassa, Wenyin Fu, Brian Coutinho, Louis Feng, Christina Delimitrou
2025 J jnl
Lumos: Efficient Performance Modeling and Estimation for Large-scale LLM Training.
CoRR
Mingyu Liang, Hiwot Tadese Kassa, Wenyin Fu, Brian Coutinho, Louis Feng, Christina Delimitrou
2025 A* conf
MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations.
ICLR
Shaochen (Henry) Zhong, Yifan Lu, Lize Shao, Bhargav Bhushanam, Xiaocong Du, Yixin Wan, Yucheng Shi, Daochen Zha, Yiwei Wang, Ninghao Liu, Kaixiong Zhou, Shuai Xu, Kai-Wei Chang, Louis Feng, Vipin Chaudhary, Xia Hu
2025 J jnl
Towards Universal Performance Modeling for Machine Learning Training on Multi-GPU Platforms.
IEEE Trans. Parallel Distributed Syst.
Zhongyi Lin, Ning Sun, Pallab Bhattacharya, Xizhou Feng, Louis Feng, John D. Owens
2024 J jnl
Towards Universal Performance Modeling for Machine Learning Training on Multi-GPU Platforms.
CoRR
Zhongyi Lin, Ning Sun, Pallab Bhattacharya, Xizhou Feng, Louis Feng, John D. Owens
2023 J jnl
Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces.
CoRR
Srinivas Sridharan, Taekyung Heo, Louis Feng, Zhaodong Wang, Matt Bergeron, Wenyin Fu, Shengbao Zheng, Brian Coutinho, Saeed Rashidi, Changhai Man, Tushar Krishna
2023 J jnl
Mystique: Accurate and Scalable Production AI Benchmarks Generation.
CoRR
Mingyu Liang, Wenyin Fu, Louis Feng, Zhongyi Lin, Pavani Panakanti, Srinivas Sridharan, Christina Delimitrou
2023 A* conf
Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks.
ISCA
Mingyu Liang, Wenyin Fu, Louis Feng, Zhongyi Lin, Pavani Panakanti, Shengbao Zheng, Srinivas Sridharan, Christina Delimitrou
2023 — conf
Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models.
MLSys
Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, Xia Hu
2023 J jnl
Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models.
CoRR
Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, Xia Hu
2022 A* conf
AutoShard: Automated Embedding Table Sharding for Recommender Systems.
KDD
Daochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu
2022 J jnl
AutoShard: Automated Embedding Table Sharding for Recommender Systems.
CoRR
Daochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu
2022 Misc conf
Building a Performance Model for Deep Learning Recommendation Model Training on GPUs.
HIPC
Zhongyi Lin, Louis Feng, Ehsan K. Ardestani, Jaewon Lee, John Lundell, Changkyu Kim, Arun Kejariwal, John D. Owens
2022 B conf
Building a Performance Model for Deep Learning Recommendation Model Training on GPUs.
ISPASS
Zhongyi Lin, Louis Feng, Ehsan K. Ardestani, Jaewon Lee, John Lundell, Changkyu Kim, Arun Kejariwal, John D. Owens
2022 J jnl
Building a Performance Model for Deep Learning Recommendation Model Training on GPUs.
CoRR
Zhongyi Lin, Louis Feng, Ehsan K. Ardestani, Jaewon Lee, John Lundell, Changkyu Kim, Arun Kejariwal, John D. Owens
2022 A* conf
DreamShard: Generalizable Embedding Table Placement for Recommender Systems.
NeurIPS
Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu
2022 J jnl
DreamShard: Generalizable Embedding Table Placement for Recommender Systems.
CoRR
Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu
2021 C conf
Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems.
ICMLA
Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal
2021 J jnl
Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems.
CoRR
Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal
2013 — conf
Embree ray tracing kernels for CPUs and the Xeon Phi architecture.
SIGGRAPH Talks
Sven Woop, Louis Feng, Ingo Wald, Carsten Benthin
2009 — ch.
Tensor-Fields Visualization Using a Fabric-like Texture Applied to Arbitrary Two-dimensional Surfaces.
Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration
Ingrid Hotz, Louis Feng, Bernd Hamann, Kenneth I. Joy
2008 J jnl
Anisotropic Noise Samples.
IEEE Trans. Vis. Comput. Graph.
Louis Feng, Ingrid Hotz, Bernd Hamann, Kenneth I. Joy
2006 — ch.
Tensor Field Visualization Using a Metric Interpretation.
Visualization and Processing of Tensor Fields
Ingrid Hotz, Louis Feng, Hans Hagen, Bernd Hamann, Kenneth I. Joy
2005 J jnl
Shell maps.
ACM Trans. Graph.
Serban D. Porumbescu, Brian Budge, Louis Feng, Kenneth I. Joy
2004 A conf
Physically Based Methods for Tensor Field Visualization.
IEEE Visualization
Ingrid Hotz, Louis Feng, Hans Hagen, Bernd Hamann, Kenneth I. Joy, Boris Jeremic
2003 — conf
3D Representations for Software Visualization.
SOFTVIS
Andrian Marcus, Louis Feng, Jonathan I. Maletic
2003 — conf
Comprehension of Software Analysis Data Using 3D Visualization.
IWPC
Andrian Marcus, Louis Feng, Jonathan I. Maletic
2003 A* conf
Source Viewer 3D (sv3D) - A Framework for Software Visualization.
ICSE
Jonathan I. Maletic, Andrian Marcus, Louis Feng
2003 B conf
Source Viewer 3D (sv3D): A System for Visualizing Multi Dimensional Software Analysis Data.
VISSOFT
Andrian Marcus, Louis Feng, Jonathan I. Maletic