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cedar: Optimized and Unified Machine Learning Input Data Pipelines

Summary: Cedar: a unified programming framework for ML input pipelines exposing composable operators usable across ML frameworks and libraries. Its extensible optimizer systematically applies fusion/scheduling and orchestrates local/distributed execution to meet throughput, achieving 1.87–10.65× speedups vs. state-of-the-art. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
14092
Venue
VLDB
Year
2025
Pagerank
4.1945683e-05
Overall Rank
10,770 | 25.08%
DOI
10.14778/3705829.3705861

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Showing 13 of 13 cited papers.

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

Rank Cited Paper Year Venue Pagerank
66 Spark SQL: Relational Data Processing in Spark 2015 SIGMOD 0.00061639801
167 The Snowflake Elastic Data Warehouse 2016 SIGMOD 0.00039180521
202 LINQ: Reconciling Objects, Relations and XML in the .NET Framework 2006 SIGMOD 0.00034920912
538 The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing 2015 VLDB 0.00020678804
746 Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores 2020 VLDB 0.00017326979
1,504 Analyzing and Mitigating Data Stalls in DNN Training 2021 VLDB 0.00011642333
2,170 tf.data: A Machine Learning Data Processing Framework 2021 VLDB 9.3821603e-05
2,350 An Intermediate Representation for Optimizing Machine Learning Pipelines 2019 VLDB 8.9788641e-05
2,611 Opening the Black Boxes in Data Flow Optimization 2012 VLDB 8.4536967e-05
3,698 Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines 2022 SIGMOD 6.8340435e-05
4,180 FastFlow: Accelerating Deep Learning Model Training with Smart Offloading of Input Data Pipeline 2023 VLDB 6.3793352e-05
5,552 GoldMiner: Elastic Scaling of Training Data Pre-Processing Pipelines for Deep Learning 2023 SIGMOD 5.4402488e-05
8,348 FusionFlow: Accelerating Data Preprocessing for Machine Learning with CPU-GPU Cooperation 2024 VLDB 4.5410024e-05
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