Louis Feng

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 15

Top Topics

Recommendation Systems

Conditional Density Estimation

Recommender Systems

Top Venues

Publications

Zhongyi Lin, Ning Sun, Pallab Bhattacharya, Xizhou Feng, Louis Feng, John D. Owens
Towards Universal Performance Modeling for Machine Learning Training on Multi-GPU Platforms. CoRR (2024)
Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, Xia Hu
Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models. CoRR (2023)
Srinivas Sridharan, Taekyung Heo, Louis Feng, Zhaodong Wang, Matt Bergeron, Wenyin Fu, Shengbao Zheng, Brian Coutinho, Saeed Rashidi, Changhai Man, Tushar Krishna
Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces. CoRR (2023)
Mingyu Liang, Wenyin Fu, Louis Feng, Zhongyi Lin, Pavani Panakanti, Srinivas Sridharan, Christina Delimitrou
Mystique: Accurate and Scalable Production AI Benchmarks Generation. CoRR (2023)
Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, Xia Hu
Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models. MLSys (2023)
Mingyu Liang, Wenyin Fu, Louis Feng, Zhongyi Lin, Pavani Panakanti, Shengbao Zheng, Srinivas Sridharan, Christina Delimitrou
Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks. ISCA (2023)
Daochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu
AutoShard: Automated Embedding Table Sharding for Recommender Systems. KDD (2022)
Zhongyi Lin, Louis Feng, Ehsan K. Ardestani, Jaewon Lee, John Lundell, Changkyu Kim, Arun Kejariwal, John D. Owens
Building a Performance Model for Deep Learning Recommendation Model Training on GPUs. ISPASS (2022)
Zhongyi Lin, Louis Feng, Ehsan K. Ardestani, Jaewon Lee, John Lundell, Changkyu Kim, Arun Kejariwal, John D. Owens
Building a Performance Model for Deep Learning Recommendation Model Training on GPUs. CoRR (2022)
Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu
DreamShard: Generalizable Embedding Table Placement for Recommender Systems. CoRR (2022)
Zhongyi Lin, Louis Feng, Ehsan K. Ardestani, Jaewon Lee, John Lundell, Changkyu Kim, Arun Kejariwal, John D. Owens
Building a Performance Model for Deep Learning Recommendation Model Training on GPUs. HIPC (2022)
Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu
DreamShard: Generalizable Embedding Table Placement for Recommender Systems. NeurIPS (2022)
Daochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu
AutoShard: Automated Embedding Table Sharding for Recommender Systems. CoRR (2022)
Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal
Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems. CoRR (2021)
Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal
Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems. ICMLA (2021)
Sven Woop, Louis Feng, Ingo Wald, Carsten Benthin
Embree ray tracing kernels for CPUs and the Xeon Phi architecture. SIGGRAPH Talks (2013)
Louis Feng, Ingrid Hotz, Bernd Hamann, Kenneth I. Joy
Anisotropic Noise Samples. IEEE Trans. Vis. Comput. Graph. 14 (2) (2008)
Serban D. Porumbescu, Brian Budge, Louis Feng, Kenneth I. Joy
Shell maps. ACM Trans. Graph. 24 (3) (2005)
Ingrid Hotz, Louis Feng, Hans Hagen, Bernd Hamann, Kenneth I. Joy, Boris Jeremic
Physically Based Methods for Tensor Field Visualization. IEEE Visualization (2004)
Jonathan I. Maletic, Andrian Marcus, Louis Feng
Source Viewer 3D (sv3D) - A Framework for Software Visualization. ICSE (2003)
Andrian Marcus, Louis Feng, Jonathan I. Maletic
Comprehension of Software Analysis Data Using 3D Visualization. IWPC (2003)
Andrian Marcus, Louis Feng, Jonathan I. Maletic
Source Viewer 3D (sv3D): A System for Visualizing Multi Dimensional Software Analysis Data. VISSOFT (2003)
Andrian Marcus, Louis Feng, Jonathan I. Maletic
3D Representations for Software Visualization. SOFTVIS (2003)