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AT-GIS: Highly Parallel Spatial Query Processing with Associative Transducers

Summary: AT-GIS introduces associative transducers (ATs) to fuse parsing and spatial query operators into a single data-parallel pipeline. It processes raw formats with no pre-processing, scales linearly on multi-core CPUs, and on 64 cores outperforms an 8-node Hadoop cluster (3x containment, 10x aggregation). (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5153
Venue
SIGMOD
Year
2016
Pagerank
4.399861e-05
Overall Rank
9,083 | 36.82%
DOI
10.1145/2882903.2882962

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
7,925 Architecting a Query Compiler for Spatial Workloads 2020 SIGMOD 4.6153403e-05
10,507 SwiftSpatial: Spatial Joins on Modern Hardware 2025 SIGMOD 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

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