Vectorizing an In Situ Query Engine

Summary: Explores vectorizing an in situ, pre-load-free query engine with SIMD to reduce data-loading bottlenecks. Assesses vectorized scan parsing and a select-aggregate path, yielding notable speedups plus memory- and plan-related trade-offs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 5281
Venue: SIGMOD
Year: 2016
Pagerank: 5.093636e-05
Overall Rank: 12,051 | 17.32%
DOI: 10.1145/2882903.2914829

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Panagiotis Sioulas (University of Athens)
2. Anastasia Ailamaki (EPFL)

BibTeX Citation

@inproceedings{sioulas_sigmod16,
        title = {{Vectorizing an In Situ Query Engine}},
        author = {Sioulas, Panagiotis and Ailamaki, Anastasia},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2914829},
        url = {https://dl.acm.org/doi/10.1145/2882903.2914829},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
634	Rethinking SIMD Vectorization for In-Memory Databases	2015	SIGMOD	0.00015533814
1,070	NoDB: Efficient Query Execution on Raw Data Files	2012	SIGMOD	0.0001232307
1,903	Instant Loading for Main Memory Databases	2013	VLDB	9.5049156e-05
2,389	Parallel Data Analysis Directly on Scientific File Formats	2014	SIGMOD	8.6439053e-05
2,435	Parallel In-Situ Data Processing with Speculative Loading	2014	SIGMOD	8.5811022e-05
3,062	Adaptive Query Processing on RAW Data	2014	VLDB	7.8037446e-05

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