Showing 1–10 of 10 results
/ Date/ Name
Apr 12, 2021Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation ModelsDec 9, 2025Meta Lattice: Model Space Redesign for Cost-Effective Industry-Scale Ads RecommendationsMay 3, 2023Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost ModelsNov 11, 2020Understanding Training Efficiency of Deep Learning Recommendation Models at ScaleMar 4, 2024Wukong: Towards a Scaling Law for Large-Scale RecommendationAug 5, 2025Two-dimensional Sparse Parallelism for Large Scale Deep Learning Recommendation Model TrainingNov 15, 2024InterFormer: Effective Heterogeneous Interaction Learning for Click-Through Rate PredictionFeb 20, 2025External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads RecommendationFeb 10, 2026Kunlun: Establishing Scaling Laws for Massive-Scale Recommendation Systems through Unified Architecture DesignAug 12, 2022AutoShard: Automated Embedding Table Sharding for Recommender Systems