Distributed Join Algorithms on Thousands of Cores
Summary: MPI-based radix-hash and sort-merge joins scale to 4,096 cores and 4.8 TB, reaching 48.7B tuples/s with SIMD, one-sided operations, and RDMA. Communication scheduling and compute/network balance dominate scalability; sort-merge nears its model peak, unlike hashing. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Claude Barthels (ETH Zurich)
- 2. Ingo Müller (ETH Zurich; Oracle)
- 3. Timo Schneider (ETH Zurich)
- 4. Gustavo Alonso (ETH Zurich)
- 5. Torsten Hoefler (ETH Zurich)
BibTeX Citation
@article{barthels_vldb17,
title = {{Distributed Join Algorithms on Thousands of Cores}},
author = {Barthels, Claude and Müller, Ingo and Schneider, Timo and Alonso, Gustavo and Hoefler, Torsten},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {5},
pages = {517--528},
doi = {10.14778/3055540.3055546},
url = {https://doi.org/10.14778/3055540.3055546},
year = {2017}
}
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