标签: 推荐系统嵌入模型加速 | ZeroRains Blog

标签 - 推荐系统嵌入模型加速

2023

「论文笔记」Ekko: A Large-Scale Deep Learning Recommender System with Low-Latency Model Update

2023-04-04

「论文笔记」Ekko: A Large-Scale Deep Learning Recommender System with Low-Latency Model Update

「论文笔记」DeepRecSys: A System for Optimizing End-To-End At-Scale Neural Recommendation Inference

2023-03-27

「论文笔记」DeepRecSys: A System for Optimizing End-To-End At-Scale Neural Recommendation Inference

「论文笔记」Fleche: An Efficient GPU Embedding Cache for Personalized Recommendations

2023-03-25

「论文笔记」Fleche: An Efficient GPU Embedding Cache for Personalized Recommendations

「论文笔记」JiZhi: A Fast and Cost-Eective Model-As-A-Service System for Web-Scale Online Inference at Baidu

2023-03-21

「论文笔记」JiZhi: A Fast and Cost-Eective Model-As-A-Service System for Web-Scale Online Inference at Baidu

「论文笔记」PetPS: Supporting Huge Embedding Models with Persistent Memory

2023-03-17

「论文笔记」PetPS: Supporting Huge Embedding Models with Persistent Memory

「论文笔记」Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation

2023-03-15

「论文笔记」Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation

「论文笔记」Single-shot Embedding Dimension Search in Recommender System

2023-02-18

「论文笔记」Single-shot Embedding Dimension Search in Recommender System

「论文笔记」PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems

2023-02-14

「论文笔记」PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems

「论文笔记」AutoShard: Automated Embedding Table Sharding for Recommender Systems

2023-02-10

「论文笔记」AutoShard: Automated Embedding Table Sharding for Recommender Systems

「论文笔记」HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training

2023-01-30

「论文笔记」HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training