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UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads

Summary: UPLIFT introduces data-characteristics-aware parallelization for feature transformations via a fine-grained task graph and cache-conscious execution. FTBench shows up to 31.6x speedups over state-of-the-art systems and broad applicability. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12777
Venue
VLDB
Year
2022
Pagerank
4.4901466e-05
Overall Rank
8,515 | 40.83%
DOI
10.14778/3551793.3551842

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Outgoing Citations (Sorted by Pagerank)

Showing 45 of 45 cited papers.

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

Rank Cited Paper Year Venue Pagerank
35 MonetDB/X100: Hyper-Pipelining Query Execution 2005 CIDR 0.00076209479
59 Efficiently Compiling Efficient Query Plans for Modern Hardware 2011 VLDB 0.0006445664
252 Snorkel: Rapid Training Data Creation with Weak Supervision 2018 VLDB 0.00030532082
350 Sort vs. Hash Revisited: Fast Join Implementation on Modern Multi-Core CPUs 2009 VLDB 0.00026368305
403 Multi-Core, Main-Memory Joins: Sort vs. Hash Revisited 2014 VLDB 0.00024176677
530 The LDBC Social Network Benchmark: Interactive Workload 2015 SIGMOD 0.00020823189
557 SystemML: Declarative Machine Learning on Spark 2016 VLDB 0.00020186115
584 Massively Parallel Sort-Merge Joins in Main Memory Multi-Core Database Systems 2012 VLDB 0.00019700451
668 Incremental Knowledge Base Construction Using DeepDive 2015 VLDB 0.00018428925
684 Cerebro: A Data System for Optimized Deep Learning Model Selection 2020 VLDB 0.00018152321
737 On Synopses for Distinct-Value Estimation Under Multiset Operations 2007 SIGMOD 0.00017377393
758 Materialization Optimizations for Feature Selection Workloads 2014 SIGMOD 0.00017053915
1,218 Snuba: Automating Weak Supervision to Label Training Data 2019 VLDB 0.00013221309
1,407 Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML 2014 VLDB 0.00012163413
1,422 Data Management Challenges in Production Machine Learning 2017 SIGMOD 0.00012050431
1,427 Towards Scalable Dataframe Systems 2020 VLDB 0.00012033503
1,481 Automating Large-Scale Data Quality Verification 2018 VLDB 0.00011715754
1,666 HELIX: Holistic Optimization for Accelerating Iterative Machine Learning 2019 VLDB 0.00010955907
1,728 BigBench: Towards an Industry Standard Benchmark for Big Data Analytics 2013 SIGMOD 0.00010731422
1,800 An Experimental Comparison of Thirteen Relational Equi-Joins in Main Memory 2016 SIGMOD 0.00010494121
1,970 Compressed Linear Algebra for Large-Scale Machine Learning 2016 VLDB 9.9024431e-05
2,122 SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle 2020 CIDR 9.4905306e-05
2,175 tf.data: A Machine Learning Data Processing Framework 2021 VLDB 9.3745231e-05
2,247 Orca: A Modular Query Optimizer Architecture for Big Data 2014 SIGMOD 9.201975e-05
2,456 Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities 2021 SIGMOD 8.7649259e-05
2,627 GenBase: A Complex Analytics Genomics Benchmark 2014 SIGMOD 8.4292895e-05
2,855 Exploiting Matrix Dependency for Efficient Distributed Matrix Computation 2015 SIGMOD 8.013421e-05
3,719 To Partition, or Not to Partition, That is the Join Question in a Real System 2021 SIGMOD 6.8141176e-05
3,772 Flexible Rule-Based Decomposition and Metadata Independence in Modin: A Parallel Dataframe System 2022 VLDB 6.7736479e-05
3,920 On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML 2018 VLDB 6.6246708e-05
3,953 A Comparative Evaluation of Systems for Scalable Linear Algebra-based Analytics 2018 VLDB 6.5896733e-05
4,197 Overton: A Data System for Monitoring and Improving Machine-Learned Products 2020 CIDR 6.3625568e-05
4,255 Parallelizing Query Optimization 2008 VLDB 6.3080082e-05
4,508 SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning 2017 CIDR 6.1261819e-05
4,761 Automated Feature Engineering for Algorithmic Fairness 2021 VLDB 5.9341687e-05
4,779 LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems 2021 SIGMOD 5.9259373e-05
4,835 MNC: Structure-Exploiting Sparsity Estimation for Matrix Expressions 2019 SIGMOD 5.8861112e-05
5,087 Accelerating Queries with Group-By and Join by Groupjoin 2011 VLDB 5.7032118e-05
5,244 Towards Benchmarking Feature Type Inference for AutoML Platforms 2021 SIGMOD 5.6021738e-05
6,061 Optimizing Machine Learning Workloads in Collaborative Environments 2020 SIGMOD 5.2270653e-05
6,225 Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems 2021 VLDB 5.1425119e-05
7,472 The Case for Deep Query Optimisation 2020 CIDR 4.7156624e-05
7,702 ExDRa: Exploratory Data Science on Federated Raw Data 2021 SIGMOD 4.6689015e-05
7,721 Mind the Gap: Bridging Multi-Domain Query Workloads with EmptyHeaded 2017 VLDB 4.6631706e-05
9,008 The Power of Nested Parallelism in Big Data Processing – Hitting Three Flies with One Slap – 2021 SIGMOD 4.4065351e-05
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