Alleviating All-to-All Communication for Deep Learning Recommendation Model Inference
Author:
Affiliation:
1. Sun Yat-sen University, China
2. Huawei, China
3. Peng Cheng Laboratory, China
4. Peking University, China
Funder
NSFC
Publisher
ACM
Reference5 articles.
1. Aditya Desai, Li Chou, and Anshumali Shrivastava. 2022. Random Offset Block Embedding (ROBE) for compressed embedding tables in deep learning recommendation systems. In Conference on Machine Learning and Systems.
2. Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems
3. Software-Hardware Co-design of Heterogeneous SmartNIC System for Recommendation Models Inference and Training
4. Semantic-Aware Lossless Data Compression for Deep Learning Recommendation Model (DLRM)
5. Cheetah: Accelerating Database Queries with Switch Pruning
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