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iSPEED: a Scalable and Distributed In-Memory Based Spatial Query System for Large and Structurally Complex 3D Data.

, , , and . Proc. VLDB Endow., 11 (12): 2078-2081 (2018)

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iSPEED: a Scalable and Distributed In-Memory Based Spatial Query System for Large and Structurally Complex 3D Data., , , and . Proc. VLDB Endow., 11 (12): 2078-2081 (2018)SATO: a spatial data partitioning framework for scalable query processing., , and . SIGSPATIAL/GIS, page 545-548. ACM, (2014)Efficient 3D Spatial Queries for Complex Objects., , , , and . ACM Trans. Spatial Algorithms Syst., 8 (2): 1-26 (June 2022)Accelerating Cross-Matching Operation of Geospatial Datasets using a CPU-GPU Hybrid Platform., , , , and . IEEE BigData, page 3402-3411. IEEE, (2018)SparkGIS: Resource Aware Efficient In-Memory Spatial Query Processing., , , , and . SIGSPATIAL/GIS, page 28:1-28:10. ACM, (2017)Scalable 3D spatial queries for analytical pathology imaging with MapReduce., , , , and . SIGSPATIAL/GIS, page 52:1-52:4. ACM, (2016)Spatial Queries in the Cloud., , and . Encyclopedia of Database Systems (2nd ed.), Springer, (2018)Parallel Processing over Spatial-Temporal Datasets from Geo, Bio, Climate and Social Science Communities: A Research Roadmap., , , , , , , , , and 4 other author(s). BigData Congress, page 232-250. IEEE Computer Society, (2017)Cloud-Based Whole Slide Image Analysis Using MapReduce., , , , , , and . DMAH@VLDB, volume 10186 of Lecture Notes in Computer Science, page 62-77. (2016)Effective Spatial Data Partitioning for Scalable Query Processing., , and . CoRR, (2015)