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Accelerating Recommendation System Training by Leveraging Popular Choices

Summary: Hot-embedding skew in recommender training; FAE uses a hot-embedding aware layout to keep frequently accessed embeddings on GPU, exploiting skewed access to reduce CPU-GPU transfers. Delivers 2.3× speedup over CPU-only XDL and 1.52× over CPU+GPU with maintained accuracy on production models. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12636
Venue
VLDB
Year
2022
Pagerank
8.2991144e-05
Overall Rank
2,688 | 81.31%
DOI
10.14778/3485450.3485462

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 10 of 10 citing papers.

Rank Citing Paper Year Venue Pagerank
5,993 DLRover-RM: Resource Optimization for Deep Recommendation Models Training in the Cloud 2024 VLDB 5.2415551e-05
5,998 Efficient Fault Tolerance for Recommendation Model Training via Erasure Coding 2023 VLDB 5.2415551e-05
8,737 Scheduling Data Processing Pipelines for Incremental Training on MLP-based Recommendation Models 2025 SIGMOD 4.456315e-05
9,094 FEC: Efficient Deep Recommendation Model Training with Flexible Embedding Communication 2023 SIGMOD 4.3980444e-05
9,231 Modyn: Data-Centric Machine Learning Pipeline Orchestration 2025 SIGMOD 4.3690661e-05
9,326 BladeDISC: Optimizing Dynamic Shape Machine Learning Workloads via Compiler Approach 2023 SIGMOD 4.3556432e-05
9,806 The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format 2024 SIGMOD 4.2805224e-05
10,472 CARINA: An Efficient CXL-Oriented Embedding Serving System for Recommendation Models 2025 SIGMOD 4.1945683e-05
10,580 GPEmu: A GPU Emulator for Faster and Cheaper Prototyping and Evaluation of Deep Learning System Research 2025 VLDB 4.1945683e-05
10,697 Lighter-X: An Efficient and Plug-and-play Strategy for Graph-based Recommendation through Decoupled Propagation 2025 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
947 MRShare: Sharing Across Multiple Queries in MapReduce 2010 VLDB 0.00015114576
1,504 Analyzing and Mitigating Data Stalls in DNN Training 2021 VLDB 0.00011642333
2,067 HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics 2016 VLDB 9.6392739e-05
4,033 In-RDBMS Hardware Acceleration of Advanced Analytics 2018 VLDB 6.5113267e-05
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Overall Rank Paper Year Venue Pagerank
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13,116 The Limits of Graph Samplers for Training Inductive Recommender Systems 2025 VLDB -
9,408 Experimental Analysis of Large-scale Learnable Vector Storage Compression 2024 VLDB 4.3441378e-05
5,998 Efficient Fault Tolerance for Recommendation Model Training via Erasure Coding 2023 VLDB 5.2415551e-05
5,993 DLRover-RM: Resource Optimization for Deep Recommendation Models Training in the Cloud 2024 VLDB 5.2415551e-05
8,737 Scheduling Data Processing Pipelines for Incremental Training on MLP-based Recommendation Models 2025 SIGMOD 4.456315e-05
1,103 Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture 2021 VLDB 0.00014025101
4,887 Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior 2012 VLDB 5.8533058e-05
9,402 CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models 2024 SIGMOD 4.3441378e-05
9,094 FEC: Efficient Deep Recommendation Model Training with Flexible Embedding Communication 2023 SIGMOD 4.3980444e-05