DBScholar

Back to papers

RAPID: In-Memory Analytical Query Processing Engine with Extreme Performance per Watt

Summary: RAPID is a hardware/software co-designed, in-memory, columnar analytic engine for SQL workloads. It achieves extreme performance-per-watt gains over modern DBMS via a purpose-built, low-power processor and architecture-aware optimizations. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5550
Venue
SIGMOD
Year
2018
Pagerank
5.093636e-05
Overall Rank
11,913 | 18.27%
DOI
10.1145/3183713.3190655

Incoming Non-self Citations Over Time

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

Authors

BibTeX Citation

@inproceedings{balkesen_sigmod18,
        title = {{RAPID: In-Memory Analytical Query Processing Engine with Extreme Performance per Watt}},
        author = {Balkesen, Cagri and Kunal, Nitin and Giannikis, Georgios and Fender, Pit and Sundara, Seema and Schmidt, Felix and Wen, Jarod and Agrawal, Sandeep and Raghavan, Arun and Varadarajan, Venkatanathan and Viswanathan, Anand and Chandrasekaran, Balakrishnan and Idicula, Sam and Agarwal, Nipun and Sedlar, Eric},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3190655},
        url = {https://dl.acm.org/doi/10.1145/3183713.3190655},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers