Database Paper Browser

Back to papers

Spatial Joins in Main Memory: Implementation Matters!

Summary: Main-memory spatial joins reveal that implementation choices trump high-level algorithms. Re-implementing the worst technique (Simple Grid) with small changes yields a multi-fold speedup, overturning prior results and underscoring fragility of memory-resident empirical conclusions. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11207
Venue
VLDB
Year
2015
Pagerank
4.9078179e-05
Overall Rank
6,852 | 52.34%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Previous Page 1 / 1 Next

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
2 R-Trees: A Dynamic Index Structure For Spatial Searching 1984 SIGMOD 0.0032169493
1,983 Optimizing Multidimensional Index Trees for Main Memory Access 2001 SIGMOD 9.8638201e-05
4,746 An Experimental Analysis of Iterated Spatial Joins in Main Memory 2013 VLDB 5.9571146e-05
6,202 A Benchmark for Evaluating Moving Object Indexes 2008 VLDB 5.1593242e-05
Previous Page 1 / 1 Next

Semantically Similar Papers