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Designing fast architecture-sensitive tree search on modern multicore/many-core processors.

, , , , , , , , and . ACM Trans. Database Syst., 36 (4): 22:1-22:34 (2011)

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Managing structure in bits & pieces: the killer use case for XML.. SIGMOD Conference, page 818-821. ACM, (2005)When can "big data" be "in-memory"?. BTW, volume P-241 of LNI, page 25. GI, (2015)Web Distributed Authoring and Versioning (WebDAV) Access Control Protocol., , , and . RFC, (May 2004)RAPID: In-Memory Analytical Query Processing Engine with Extreme Performance per Watt., , , , , , , , , and 5 other author(s). SIGMOD Conference, page 1407-1419. ACM, (2018)Towards an enterprise XML architecture., , , , , , , , , and 1 other author(s). SIGMOD Conference, page 953-957. ACM, (2005)Sort vs. Hash Revisited: Fast Join Implementation on Modern Multi-Core CPUs., , , , , , , , and . PVLDB, 2 (2): 1378-1389 (2009)Big Data Processing: Scalability with Extreme Single-Node Performance., , , , , , , , , and . BigData Congress, page 129-136. IEEE Computer Society, (2017)Designing fast architecture-sensitive tree search on modern multicore/many-core processors., , , , , , , , and . ACM Trans. Database Syst., 36 (4): 22:1-22:34 (2011)A many-core architecture for in-memory data processing., , , , , , , , , and 1 other author(s). MICRO, page 245-258. ACM, (2017)FAST: fast architecture sensitive tree search on modern CPUs and GPUs., , , , , , , , and . SIGMOD Conference, page 339-350. ACM, (2010)