Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems

Qinyi Luo, Penghan Wang, Wei Zhang +8

Huge embedding tables in modern deep learning recommender models (DLRM) require prohibitively large memory during training and inference. This paper proposes FIITED, a system to au…