Prune Early, Intersect Fast: PRISM, a Prefix-based Radix Integer Set with Morphing Nodes
Summary: PRISM indexes 64-bit integer sets as prefix tries with occupancy bitmaps, pruning absent ranges early and using SIMD for leaf-level intersections; occupancy-adaptive morphing nodes cut sparse-data memory by up to 8×. It delivers the fastest intersection-heavy performance across three real workloads, outperforming compressed bitmaps and general-purpose containers. (summarized by gpt-6-luna on Oct 08 2026)
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Authors
- 1. Adrian Riedl (Technical University of Munich)
- 2. Thomas Neumann (Technical University of Munich)
BibTeX Citation
@article{riedl_vldb27,
title = {{Prune Early, Intersect Fast: PRISM, a Prefix-based Radix Integer Set with Morphing Nodes}},
author = {Riedl, Adrian and Neumann, Thomas},
journal = {PVLDB},
series = {{VLDB} '27},
volume = {20},
number = {1},
pages = {53--65},
doi = {10.14778/3845598.3845603},
url = {https://doi.org/10.14778/3845598.3845603},
year = {2027}
}
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Showing 6 of 6 cited papers.
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,212 | A Seven-Dimensional Analysis of Hashing Methods and its Implications on Query Processing | 2016 | VLDB | 0.00011521857 |
| 1,853 | Speeding Up Set Intersections in Graph Algorithms using SIMD Instructions | 2018 | SIGMOD | 9.499042e-05 |
| 2,011 | An Experimental Study of Bitmap Compression vs. Inverted List Compression | 2017 | SIGMOD | 9.1924806e-05 |
| 2,120 | Fast Set Intersection in Memory | 2011 | VLDB | 9.0077549e-05 |
| 2,977 | Faster Set Intersection with SIMD instructions by Reducing Branch Mispredictions | 2015 | VLDB | 7.7881518e-05 |
| 7,541 | HERO: A Hierarchical Set Partitioning and Join Framework for Speeding up the Set Intersection Over Graphs | 2024 | SIGMOD | 5.4977034e-05 |
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