Jade Nie

Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models

Kiran Kumar Matam, Guoqiang Jerry Chen, E. K. Ardestani, 2021, 2104.05158.

Enabling Compute-Communication Overlap in Distributed Deep Learning Training Platforms

Srinivas Sridharan, S. Srinivasan, T. Krishna, 2020, 2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture (ISCA).

Understanding Training Efficiency of Deep Learning Recommendation Models at Scale pdf

Carole-Jean Wu, Kim M. Hazelwood, Xiaodong Wang, 2020, 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA).

High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models

Kiran Kumar Matam, Guoqiang Jerry Chen, E. K. Ardestani, 2021, ArXiv.

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

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

Software-hardware co-design for fast and scalable training of deep learning recommendation models

Kiran Kumar Matam, Guoqiang Jerry Chen, E. K. Ardestani, 2021, ISCA.

AutoShard: Automated Embedding Table Sharding for Recommender Systems

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