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neoDBMS: In-situ Snapshots for Multi-Version DBMS on Native Computational Storage., , , , , , , and . ICDE, page 3170-3173. IEEE, (2022)nKV in Action: Accelerating KV-Stores on NativeComputational Storage with Near-Data Processing., , , , , , , , and . Proc. VLDB Endow., 13 (12): 2981-2984 (2020)AnyDB: An Architecture-less DBMS for Any Workload., , , and . CoRR, (2020)The full story of 1000 cores., , , and . VLDB J., 31 (6): 1185-1213 (2022)Introduction to the special issue on self‑managing and hardware‑optimized database systems 2022., and . Distributed Parallel Databases, 41 (3): 267-271 (September 2023)pimDB: From Main-Memory DBMS to Processing-In-Memory DBMS-Engines on Intelligent Memories., , and . DaMoN, page 44-52. ACM, (2023)Result-Set Management for NDP Operations on Smart Storage., , , , , , and . DaMoN, page 12:1-12:5. ACM, (2022)On the Necessity of Explicit Cross-Layer Data Formats in Near-Data Processing Systems., , , , and . ICDE Workshops, page 109-114. IEEE, (2020)An Architectural Framework for Web Applications., , and . ICEIS (1), page 285-293. (2003)nKV: near-data processing with KV-stores on native computational storage., , , , and . DaMoN, page 10:1-10:11. ACM, (2020)