QPipe: A Simultaneously Pipelined Relational Query Engine
Summary: On-demand simultaneous pipelining (OSP) enables proactive sharing of operator work across concurrent queries. QPipe, an operator-centric engine with per-operator micro-engines, uses OSP for cross-query data sharing, yielding ~2x speedup on TPC-H. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Stavros Harizopoulos (Carnegie Mellon University)
- 2. Vladislav Shkapenyuk (Carnegie Mellon University; Rutgers University)
- 3. Anastassia Ailamaki (Carnegie Mellon University)
BibTeX Citation
@inproceedings{harizopoulos_sigmod05,
title = {{QPipe: A Simultaneously Pipelined Relational Query Engine}},
author = {Harizopoulos, Stavros and Shkapenyuk, Vladislav and Ailamaki, Anastassia},
series = {{SIGMOD} '05},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1066157.1066201},
url = {https://dl.acm.org/doi/10.1145/1066157.1066201},
year = {2005}
}
Incoming Citations (Sorted by Pagerank)
Showing 9 of 59 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 20 of 20 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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