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)
Incoming Non-self Citations Over Time
Authors
- 1. Peter Ogden
- 2. David Thomas
- 3. Peter Pietzuch
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 |
Previous
Page 1 / 1
Next
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.
Previous
Page 1 / 1
Next