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Analyzing and Mitigating Data Stalls in DNN Training

Summary: Finds input-pipeline stalls (storage fetch/preprocessing) dominate DNN training across models, datasets, and production hardware. DS-Analyzer provides differential what-if diagnosis, while CoorDL mitigates stalls and delivers up to 5× speedups over DALI. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12781
Venue
VLDB
Year
2021
Pagerank
0.0001076818
Overall Rank
1,446 | 90.09%
DOI
10.14778/3446095.3446100

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{mohan_vldb21,
        title = {{Analyzing and Mitigating Data Stalls in DNN Training}},
        author = {Mohan, Jayashree and Phanishayee, Amar and Raniwala, Ashish and Chidambaram, Vijay},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {5},
        pages = {771--784},
        doi = {10.14778/3446095.3446100},
        url = {https://doi.org/10.14778/3446095.3446100},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 16 of 16 citing papers.

Rank Citing Paper Year Venue Pagerank
2,018 tf.data: A Machine Learning Data Processing Framework 2021 VLDB 9.3001937e-05
2,688 Accelerating Recommendation System Training by Leveraging Popular Choices 2022 VLDB 8.2564305e-05
3,541 Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines 2022 SIGMOD 7.3280673e-05
3,764 FastFlow: Accelerating Deep Learning Model Training with Smart Offloading of Input Data Pipeline 2023 VLDB 7.1446931e-05
5,282 GoldMiner: Elastic Scaling of Training Data Pre-Processing Pipelines for Deep Learning 2023 SIGMOD 6.2840712e-05
6,190 Progressive Compressed Records: Taking a Byte out of Deep Learning Data 2021 VLDB 5.9476635e-05
6,900 Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving 2025 SIGMOD 5.7430032e-05
7,656 Nautilus: An Optimized System for Deep Transfer Learning over Evolving Training Datasets 2022 SIGMOD 5.5740571e-05
8,321 FusionFlow: Accelerating Data Preprocessing for Machine Learning with CPU-GPU Cooperation 2024 VLDB 5.4544352e-05
8,905 TensorSocket: Shared Data Loading for Deep Learning Training 2026 SIGMOD 5.3483178e-05
8,907 Scheduling Data Processing Pipelines for Incremental Training on MLP-based Recommendation Models 2025 SIGMOD 5.3483178e-05
9,880 MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training 2025 SIGMOD 5.2040783e-05
10,472 Mixtera: A Data Plane for Foundation Model Training 2026 SIGMOD 5.093636e-05
10,844 GPEmu: A GPU Emulator for Faster and Cheaper Prototyping and Evaluation of Deep Learning System Research 2025 VLDB 5.093636e-05
10,999 cedar: Optimized and Unified Machine Learning Input Data Pipelines 2025 VLDB 5.093636e-05
11,080 Analyzing Near-Network Hardware Acceleration with Co-Processing on DPUs 2025 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1,157 Cerebro: A Data System for Optimized Deep Learning Model Selection 2020 VLDB 0.00011924049
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