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Accelerating the Unacceleratable: Hybrid CPU/GPU Algorithms for Memory-Bound Database Primitives., , , and . DaMoN, page 7:1-7:11. ACM, (2019)Efficient Batched Predecessor Search in Shared Memory on GPUs., , and . HiPC, page 335-344. IEEE Computer Society, (2015)Beyond Binary Search: Parallel In-Place Construction of Implicit Search Tree Layouts., , , , and . IPDPS, page 1070-1079. IEEE Computer Society, (2018)Accelerating the similarity self-join using the GPU., and . J. Parallel Distributed Comput., (2019)Sorting Large Datasets with Heterogeneous CPU/GPU Architectures., and . IPDPS Workshops, page 560-569. IEEE Computer Society, (2018)Locality-of-Reference Optimality of Cache-Oblivious Algorithms., , , , and . APOCS, page 31-45. SIAM, (2022)A study of work distribution and contention in database primitives on heterogeneous CPU/GPU architectures., , , and . SAC, page 311-320. ACM, (2021)GPU-Accelerated Similarity Self-Join for Multi-Dimensional Data., and . DaMoN, page 6:1-6:9. ACM, (2019)Analysis-driven Engineering of Comparison-based Sorting Algorithms on GPUs., , , , and . ICS, page 86-95. ACM, (2018)GPU Accelerated Self-Join for the Distance Similarity Metric., and . IPDPS Workshops, page 477-486. IEEE Computer Society, (2018)