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FastFlow: Accelerating Deep Learning Model Training with Smart Offloading of Input Data Pipeline

Summary: FastFlow automatically mitigates CPU-side input-pipeline bottlenecks by smartly offloading preprocessing to remote CPUs and jointly leveraging local+remote resources to maximize GPU utilization. Integrated into TensorFlow, its performance-driven offloading policy yields 1–4.5× throughput gains vs TensorFlow/tf.data.service and up to 2.06× vs DALI. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13166
Venue
VLDB
Year
2023
Pagerank
7.1446931e-05
Overall Rank
3,764 | 74.18%
DOI
10.14778/3579075.3579083

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{um_vldb23,
        title = {{FastFlow: Accelerating Deep Learning Model Training with Smart Offloading of Input Data Pipeline}},
        author = {Um, Taegeon and Oh, Byungsoo and Seo, Byeongchan and Kweun, Minhyeok and Kim, Goeun and Lee, Woo-Yeon},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {5},
        pages = {1086--1099},
        doi = {10.14778/3579075.3579083},
        url = {https://doi.org/10.14778/3579075.3579083},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 citing papers.

Rank Citing Paper Year Venue Pagerank
3,536 How Large Language Models Will Disrupt Data Management 2023 VLDB 7.3297343e-05
6,900 Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving 2025 SIGMOD 5.7430032e-05
6,954 DLRover-RM: Resource Optimization for Deep Recommendation Models Training in the Cloud 2024 VLDB 5.7303405e-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
10,844 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
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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
1,446 Analyzing and Mitigating Data Stalls in DNN Training 2021 VLDB 0.0001076818
2,018 tf.data: A Machine Learning Data Processing Framework 2021 VLDB 9.3001937e-05
3,541 Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines 2022 SIGMOD 7.3280673e-05
6,190 Progressive Compressed Records: Taking a Byte out of Deep Learning Data 2021 VLDB 5.9476635e-05
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