Gpu-based Spatial Indexing
GPU-Based Spatial Indexing is a spatial indexing method that leverages the parallel processing capabilities of graphics processing units (GPUs) to accelerate the construction, querying, and maintenance of spatial data structures, distinguishing it from traditional CPU-based spatial indexing techniques by exploiting massive thread-level parallelism for high-throughput spatial data operations.
19
Publications
514
Citations
34
Authors
20
Institutions
Publications per year
2017–2026
4
Parents
19
Simpler and faster HLBVH with work queues
Kirill Garanzha, Jacopo Pantaleoni, David McAllister · 2011 · 111 citations
A GPU-based index to support interactive spatio-temporal queries over historical data
Harish Doraiswamy, Huy T. Vo, Claudio Silva et al. · 2016 · 45 citations
1–5 of 19
34
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20
City College of New York
New York, United States
7 h-index
7 publications
220 citations

The Graduate Center, CUNY
New York, United States
6 h-index
8 publications
231 citations
University of Oklahoma
Norman, United States
4 h-index
4 publications
124 citations

University of Hawaiʻi at Mānoa
Honolulu, United States
2 h-index
3 publications
51 citations
University of California, Davis
Davis, United States
2 h-index
8 publications
152 citations

Lawrence Berkeley National Laboratory
Berkeley, United States
2 h-index
3 publications
62 citations
City University of New York
New York, United States
1 h-index
1 publications
21 citations
City College
Fort Lauderdale, United States
1 h-index
1 publications
45 citations
1–8 of 20
TVCG · 3 publications · 48 citations
3
h-index
TPDS · 1 publications · 21 citations
1
h-index
1 publications · 26 citations
1
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Repository · 1 publications · 14 citations
1
h-index
1 publications · 30 citations
1
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