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An Architecture for Compiling UDF-centric Workflows

Summary: An architecture to automatically compile UDF-centric workflows for complex analytics, targeting computation bottlenecks. Data/UDF/hardware-aware optimizations produce per-workflow code in TUPLEWARE, achieving up to three orders of magnitude speedups against alternatives. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11024
Venue
VLDB
Year
2015
Pagerank
0.00010253002
Overall Rank
1,873 | 86.98%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 33 of 33 citing papers.

Rank Citing Paper Year Venue Pagerank
102 The Case for Learned Index Structures 2018 SIGMOD 0.00049545203
557 SystemML: Declarative Machine Learning on Spark 2016 VLDB 0.00020197988
853 Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask 2018 VLDB 0.00015940507
1,361 The End of Slow Networks: It's Time for a Redesign 2016 VLDB 0.00012379741
1,532 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011472681
1,666 HELIX: Holistic Optimization for Accelerating Iterative Machine Learning 2019 VLDB 0.0001096361
1,750 Weld: A Common Runtime for High Performance Data Analytics 2017 CIDR 0.00010683647
1,864 Relaxed Operator Fusion for In-Memory Databases: Making Compilation, Vectorization, and Prefetching Work Together At Last 2018 VLDB 0.00010280966
1,882 Tuplex: Data Science in Python at Native Code Speed 2021 SIGMOD 0.0001021625
2,129 IDEBench: A Benchmark for Interactive Data Exploration 2020 SIGMOD 9.480002e-05
2,716 Davos: A System for Interactive Data-Driven Decision Making 2021 VLDB 8.2429172e-05
2,838 How to Architect a Query Compiler, Revisited 2018 SIGMOD 8.0408472e-05
2,896 Evaluating End-to-End Optimization for Data Analytics Applications in Weld 2018 VLDB 7.9452051e-05
3,918 On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML 2018 VLDB 6.6315176e-05
4,033 In-RDBMS Hardware Acceleration of Advanced Analytics 2018 VLDB 6.5113267e-05
4,505 SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning 2017 CIDR 6.1327108e-05
4,774 LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems 2021 SIGMOD 5.9316087e-05
4,924 User-Defined Operators: Efficiently Integrating Custom Algorithms into Modern Databases 2022 VLDB 5.822682e-05
5,476 Containerized Execution of UDFs: An Experimental Evaluation 2022 VLDB 5.4866534e-05
5,731 Babelfish: Efficient Execution of Polyglot Queries 2022 VLDB 5.3502065e-05
6,298 Hillview: A trillion-cell spreadsheet for big data 2019 VLDB 5.1226987e-05
6,525 Database Technology for the Masses: Sub-Operators as First-Class Entities 2021 VLDB 5.027205e-05
8,002 Pangea: Monolithic Distributed Storage for Data Analytics 2019 VLDB 4.6088289e-05
8,051 Building Advanced SQL Analytics From Low-Level Plan Operators 2021 SIGMOD 4.5969549e-05
8,078 Meta-Dataflows: Efficient Exploratory Dataflow Jobs 2018 SIGMOD 4.5914967e-05
8,094 Modularis: Modular Relational Analytics over Heterogeneous Distributed Platforms 2021 VLDB 4.5867812e-05
8,583 Efficient Execution of User-Defined Functions in SQL Queries 2023 VLDB 4.4919445e-05
8,626 Adaptive Code Generation for Data-Intensive Analytics 2021 VLDB 4.4829152e-05
9,326 BladeDISC: Optimizing Dynamic Shape Machine Learning Workloads via Compiler Approach 2023 SIGMOD 4.3556432e-05
9,719 Tuplex: Robust, Efficient Analytics When Python Rules 2019 VLDB 4.2980763e-05
9,762 QURE: AI-Assisted and Automatically Verified UDF Inlining 2025 SIGMOD 4.2856106e-05
10,969 Query Compilation Without Regrets 2024 SIGMOD 4.1945683e-05
11,288 To UDFs and Beyond: Demonstration of a Fully Decomposed Data Processor for General Data Wrangling Tasks 2023 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

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

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