Louis Feng

According to our database, Louis Feng authored at least 19 papers between 2003 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Towards Universal Performance Modeling for Machine Learning Training on Multi-GPU Platforms.

Zhongyi Lin, Ning Sun, Pallab Bhattacharya, Xizhou Feng, Louis Feng, John D. Owens

IEEE Trans. Parallel Distributed Syst., February, 2025

2023

Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces.

Srinivas Sridharan, Taekyung Heo, Louis Feng, Zhaodong Wang, Matt Bergeron, Wenyin Fu, Shengbao Zheng, Brian Coutinho, Saeed Rashidi, Changhai Man, Tushar Krishna

CoRR, 2023

Mystique: Accurate and Scalable Production AI Benchmarks Generation.

Mingyu Liang, Wenyin Fu, Louis Feng, Zhongyi Lin, Pavani Panakanti, Srinivas Sridharan, Christina Delimitrou

CoRR, 2023

Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models.

Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, Xia Hu

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks.

Mingyu Liang, Wenyin Fu, Louis Feng, Zhongyi Lin, Pavani Panakanti, Shengbao Zheng, Srinivas Sridharan, Christina Delimitrou

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

2022

DreamShard: Generalizable Embedding Table Placement for Recommender Systems.

Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AutoShard: Automated Embedding Table Sharding for Recommender Systems.

Daochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Building a Performance Model for Deep Learning Recommendation Model Training on GPUs.

Zhongyi Lin, Louis Feng, Ehsan K. Ardestani, Jaewon Lee, John Lundell, Changkyu Kim, Arun Kejariwal, John D. Owens

Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

2021

Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems.

Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2013

Embree ray tracing kernels for CPUs and the Xeon Phi architecture.

Sven Woop, Louis Feng, Ingo Wald, Carsten Benthin

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2013

2009

Tensor-Fields Visualization Using a Fabric-like Texture Applied to Arbitrary Two-dimensional Surfaces.

Ingrid Hotz, Louis Feng, Bernd Hamann, Kenneth I. Joy

Proceedings of the Mathematical Foundations of Scientific Visualization, 2009

2008

Anisotropic Noise Samples.

Louis Feng, Ingrid Hotz, Bernd Hamann, Kenneth I. Joy

IEEE Trans. Vis. Comput. Graph., 2008

2006

Tensor Field Visualization Using a Metric Interpretation.

Ingrid Hotz, Louis Feng, Hans Hagen, Bernd Hamann, Kenneth I. Joy

Proceedings of the Visualization and Processing of Tensor Fields, 2006

2005

Shell maps.

Serban D. Porumbescu, Brian Budge, Louis Feng, Kenneth I. Joy

ACM Trans. Graph., 2005

2004

Physically Based Methods for Tensor Field Visualization.

Ingrid Hotz, Louis Feng, Hans Hagen, Bernd Hamann, Kenneth I. Joy, Boris Jeremic

Proceedings of the 15th IEEE Visualization Conference, 2004

2003

Source Viewer 3D (sv3D): A System for Visualizing Multi Dimensional Software Analysis Data.

Andrian Marcus, Louis Feng, Jonathan I. Maletic

Proceedings of the 2nd International Workshop on Visualizing Software for Understanding and Analysis, 2003

3D Representations for Software Visualization.

Andrian Marcus, Louis Feng, Jonathan I. Maletic

Proceedings of the Proceedings ACM 2003 Symposium on Software Visualization, 2003

Comprehension of Software Analysis Data Using 3D Visualization.

Andrian Marcus, Louis Feng, Jonathan I. Maletic

Proceedings of the 11th International Workshop on Program Comprehension (IWPC 2003), 2003

Source Viewer 3D (sv3D) - A Framework for Software Visualization.

Jonathan I. Maletic, Andrian Marcus, Louis Feng

Proceedings of the 25th International Conference on Software Engineering, 2003