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Louis Feng
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2020 – today
- 2024
- [i8]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 abs/2404.12674 (2024) - 2023
- [c13]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: 37:1-37:13 - [c12]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 - [i7]Mingyu Liang, Wenyin Fu, Louis Feng, Zhongyi Lin, Pavani Panakanti, Srinivas Sridharan, Christina Delimitrou:
Mystique: Accurate and Scalable Production AI Benchmarks Generation. CoRR abs/2301.04122 (2023) - [i6]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 abs/2305.01868 (2023) - [i5]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 abs/2305.14516 (2023) - 2022
- [c11]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: 48-58 - [c10]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: 227-229 - [c9]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: 4461-4471 - [c8]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 - [i4]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 abs/2201.07821 (2022) - [i3]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 abs/2208.06399 (2022) - [i2]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 abs/2210.02023 (2022) - 2021
- [c7]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: 1421-1428 - [i1]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 abs/2105.01064 (2021)
2010 – 2019
- 2013
- [c6]Sven Woop, Louis Feng, Ingo Wald, Carsten Benthin:
Embree ray tracing kernels for CPUs and the Xeon Phi architecture. SIGGRAPH Talks 2013: 44:1
2000 – 2009
- 2009
- [p2]Ingrid Hotz, Louis Feng, Bernd Hamann, Kenneth I. Joy:
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 2009: 139-155 - 2008
- [j2]Louis Feng, Ingrid Hotz, Bernd Hamann, Kenneth I. Joy:
Anisotropic Noise Samples. IEEE Trans. Vis. Comput. Graph. 14(2): 342-354 (2008) - 2006
- [p1]Ingrid Hotz, Louis Feng, Hans Hagen, Bernd Hamann, Kenneth I. Joy:
Tensor Field Visualization Using a Metric Interpretation. Visualization and Processing of Tensor Fields 2006: 269-281 - 2005
- [j1]Serban D. Porumbescu, Brian Budge, Louis Feng, Kenneth I. Joy:
Shell maps. ACM Trans. Graph. 24(3): 626-633 (2005) - 2004
- [c5]Ingrid Hotz, Louis Feng, Hans Hagen, Bernd Hamann, Kenneth I. Joy, Boris Jeremic:
Physically Based Methods for Tensor Field Visualization. IEEE Visualization 2004: 123-130 - 2003
- [c4]Jonathan I. Maletic, Andrian Marcus, Louis Feng:
Source Viewer 3D (sv3D) - A Framework for Software Visualization. ICSE 2003: 812-813 - [c3]Andrian Marcus, Louis Feng, Jonathan I. Maletic:
Comprehension of Software Analysis Data Using 3D Visualization. IWPC 2003: 105-114 - [c2]Andrian Marcus, Louis Feng, Jonathan I. Maletic:
3D Representations for Software Visualization. SOFTVIS 2003: 27-36 - [c1]Andrian Marcus, Louis Feng, Jonathan I. Maletic:
Source Viewer 3D (sv3D): A System for Visualizing Multi Dimensional Software Analysis Data. VISSOFT 2003: 62-63
Coauthor Index
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last updated on 2024-10-25 21:18 CEST by the dblp team
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