Distributed Join Algorithms on Thousands of Cores

Abstract

Traditional database operators such as joins are relevant not only in the context of database engines but also as a building block in many computational and machine learning algorithms. With the advent of big data, there is an increasing demand for efficient join algorithms that can scale with the input data size and the available hardware resources. In… (More)

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Cite this paper

@article{Barthels2017DistributedJA, title={Distributed Join Algorithms on Thousands of Cores}, author={Claude Barthels and Gustavo Alonso and Torsten Hoefler and Timo Schneider and Ingo M{\"u}ller}, journal={PVLDB}, year={2017}, volume={10}, pages={517-528} }