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Make the most out of your SIMD investments: counter control flow divergence in compiled query pipelines.

, , , , , and . DaMoN, page 5:1-5:8. ACM, (2018)

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High-Performance Geospatial Analytics in HyPerSpace., , , , , and . SIGMOD Conference, page 2145-2148. ACM, (2016)Adaptive Geospatial Joins for Modern Hardware., , , , , , and . CoRR, (2018)Estimating Cardinalities with Deep Sketches., , , , , , , , and . SIGMOD Conference, page 1937-1940. ACM, (2019)Approximate Geospatial Joins with Precision Guarantees., , , , , , and . ICDE, page 1360-1363. IEEE Computer Society, (2018)Learned Cardinalities: Estimating Correlated Joins with Deep Learning., , , , , and . CoRR, (2018)Informatikforschung für digitale Mobilitätsplattformen - Am Beispiel des TUM Living Lab Connected Mobility., , , , , , , , , and 8 other author(s). Informatik Spektrum, 40 (2): 180-191 (2017)SOSD: A Benchmark for Learned Indexes., , , , , , and . CoRR, (2019)DeepSPACE: Approximate Geospatial Query Processing with Deep Learning., , , and . SIGSPATIAL/GIS, page 500-503. ACM, (2019)Scalable Analytics on Fast Data., , , , , and . ACM Trans. Database Syst., 44 (1): 1:1-1:35 (2019)GeoBlocks: A Query-Driven Storage Layout for Geospatial Data., , , and . CoRR, (2019)