Cache-Efficient Aggregation: Hashing Is Sorting
Summary: Hashing and sorting share the same cache efficiency in the external memory model, within a unified aggregation framework. Hardware-aware switching between hashing and sorting yields a cache-friendly, parallel aggregation; near memory bandwidth, beating state-of-the-art by up to 3.7x. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ingo Müller (Karlsruhe Institute of Technology; SAP)
- 2. Peter Sanders (Karlsruhe Institute of Technology)
- 3. Arnaud Lacurie (SAP)
- 4. Wolfgang Lehner (Technical University of Dresden)
- 5. Franz Färber (SAP)
BibTeX Citation
@inproceedings{muller_sigmod15,
title = {{Cache-Efficient Aggregation: Hashing Is Sorting}},
author = {Müller, Ingo and Sanders, Peter and Lacurie, Arnaud and Lehner, Wolfgang and Färber, Franz},
series = {{SIGMOD} '15},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2723372.2747644},
url = {https://dl.acm.org/doi/10.1145/2723372.2747644},
year = {2015}
}
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