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Analytics with smart arrays: adaptive and efficient language-independent data.

, , , , , and . EuroSys, page 17:1-17:15. ACM, (2018)

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Databases on Modern Hardware: How to Stop Underutilization and Love Multicores, , , , and . Synthesis Lectures on Data Management Morgan & Claypool Publishers, (2017)Scaling Up Concurrent Analytical Workloads on Multi-Core Servers.. EPFL, Switzerland, (2016)How to stop under-utilization and love multicores., , , , and . SIGMOD Conference, page 189-192. ACM, (2014)Sharing Data and Work Across Concurrent Analytical Queries., , and . Proc. VLDB Endow., 6 (9): 637-648 (2013)CSR++: A Fast, Scalable, Update-Friendly Graph Data Structure., , , , , , , and . OPODIS, volume 184 of LIPIcs, page 17:1-17:16. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2020)How to stop under-utilization and love multicores., , , , and . ICDE, page 1530-1533. IEEE Computer Society, (2015)Reactive and proactive sharing across concurrent analytical queries., , , and . SIGMOD Conference, page 889-892. ACM, (2014)aDFS: An Almost Depth-First-Search Distributed Graph-Querying System., , , , , , , , , and 2 other author(s). USENIX Annual Technical Conference, page 209-224. USENIX Association, (2021)