Louis Feng

DreamShard: Generalizable Embedding Table Placement for Recommender Systems

A. Kejariwal, Yuandong Tian, D. Zha, 2022, Neural Information Processing Systems.

Data Transfer Using the Intel COI Library

Louis Feng, Louis Feng, 2015 .

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

Liangchen Luo, A. Kejariwal, Yuandong Tian, 2023, ArXiv.

Future communication satellites: low cost reduction of technology obsolescence

Ayodele Periola, Louis Wei-Yu Feng, A. Periola, 2021, Aerospace Systems.

AutoShard: Automated Embedding Table Sharding for Recommender Systems

Yi-An Ma, A. Kejariwal, Yuandong Tian, 2022, KDD.

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

Srinivas Sridharan, T. Krishna, Taekyung Heo, 2023, ArXiv.

Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems

Tianxiang Gao, Arun Kejariwal, Jongsoo Park, 2021, 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).

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

E. K. Ardestani, John Douglas Owens, A. Kejariwal, 2022, 2022 IEEE 29th International Conference on High Performance Computing, Data, and Analytics (HiPC).

Mystique: Accurate and Scalable Production AI Benchmarks Generation

Srinivas Sridharan, Christina Delimitrou, Mingyu Liang, 2023, ArXiv.

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

John D. Owens, Arun Kejariwal, Ehsan K. Ardestani, 2022, IEEE International Symposium on Performance Analysis of Systems and Software.

Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks

Srinivas Sridharan, Christina Delimitrou, Shengbao Zheng, 2022, ISCA.

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

E. K. Ardestani, John Douglas Owens, A. Kejariwal, 2022, 2022 IEEE 29th International Conference on High Performance Computing, Data, and Analytics (HiPC).