Mind the Gap: Bridging Multi-Domain Query Workloads with EmptyHeaded
Summary: Demonstrates EmptyHeaded, a unified interactive engine spanning relational, graph, and linear-algebra workloads without costly data movement. Its architecture combines worst-case-optimal join processing with automated in-query transformations, exposing trade-offs via Jupyter. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Christopher R. Aberger (Stanford University)
- 2. Andrew Lamb (Stanford University)
- 3. Kunle Olukotun (Stanford University)
- 4. Christopher Ré (Stanford University)
BibTeX Citation
@article{aberger_vldb17,
title = {{Mind the Gap: Bridging Multi-Domain Query Workloads with EmptyHeaded}},
author = {Aberger, Christopher R. and Lamb, Andrew and Olukotun, Kunle and Ré, Christopher},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {12},
pages = {1849--1862},
doi = {10.14778/3137765.3137780},
url = {https://doi.org/10.14778/3137765.3137780},
year = {2017}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,847 | AIDA - Abstraction for Advanced In-Database Analytics | 2018 | VLDB | 8.0583142e-05 |
| 6,538 | UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads | 2022 | VLDB | 5.8477764e-05 |
| 10,762 | Fast Hypertree Decompositions via Linear Programming: Fractional and Generalized | 2025 | SIGMOD | 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 |
|---|---|---|---|---|
| 24 | Spark SQL: Relational Data Processing in Spark | 2015 | SIGMOD | 0.00054865648 |
| 211 | EmptyHeaded: A Relational Engine for Graph Processing | 2016 | SIGMOD | 0.00024797217 |
| 411 | Worst-case Optimal Join Algorithms | 2012 | PODS | 0.00018902089 |
| 764 | To Join or Not to Join? Thinking Twice about Joins before Feature Selection | 2016 | SIGMOD | 0.00014226652 |
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