Database Paper Browser

Back to papers

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
14093
Venue
VLDB
Year
2025
Pagerank
4.1905499e-05
Overall Rank
10,776 | 25.11%
DOI
10.14778/3705829.3705861

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

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 0.00061707583
167 The Snowflake Elastic Data Warehouse 2016 SIGMOD 0.00039408116
201 LINQ: Reconciling Objects, Relations and XML in the .NET Framework 2006 SIGMOD 0.00034903121
536 The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing 2015 VLDB 0.00020651621
739 Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores 2020 VLDB 0.00017365933
1,500 Analyzing and Mitigating Data Stalls in DNN Training 2021 VLDB 0.00011636174
2,175 tf.data: A Machine Learning Data Processing Framework 2021 VLDB 9.3745231e-05
2,355 An Intermediate Representation for Optimizing Machine Learning Pipelines 2019 VLDB 8.9727612e-05
2,616 Opening the Black Boxes in Data Flow Optimization 2012 VLDB 8.4457819e-05
3,694 Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines 2022 SIGMOD 6.8316905e-05
4,175 FastFlow: Accelerating Deep Learning Model Training with Smart Offloading of Input Data Pipeline 2023 VLDB 6.3772575e-05
5,560 GoldMiner: Elastic Scaling of Training Data Pre-Processing Pipelines for Deep Learning 2023 SIGMOD 5.4350242e-05
8,343 FusionFlow: Accelerating Data Preprocessing for Machine Learning with CPU-GPU Cooperation 2024 VLDB 4.5366487e-05
Previous Page 1 / 1 Next

Semantically Similar Papers

Overall Rank Paper Year Venue Pagerank
6,464 Materialization and Reuse Optimizations for Production Data Science Pipelines 2022 SIGMOD 5.0471003e-05
684 Cerebro: A Data System for Optimized Deep Learning Model Selection 2020 VLDB 0.00018152321
9,234 Modyn: Data-Centric Machine Learning Pipeline Orchestration 2025 SIGMOD 4.3648789e-05
3,694 Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines 2022 SIGMOD 6.8316905e-05
4,006 Data Platform for Machine Learning 2019 SIGMOD 6.5371762e-05
4,779 LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems 2021 SIGMOD 5.9259373e-05
8,117 SDPipe: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel Training 2023 VLDB 4.5788485e-05
7,303 DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines 2022 CIDR 4.7632836e-05
10,409 Sequoia: An Accessible and Extensible Framework for Privacy-Preserving Machine Learning over Distributed Data 2025 SIGMOD 4.1905499e-05
2,175 tf.data: A Machine Learning Data Processing Framework 2021 VLDB 9.3745231e-05