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Topology-aware Parallel Data Processing: Models, Algorithms and Systems at Scale

Summary: Presents a topology-aware parallel model that jointly captures computation and communication costs and yields algorithms with theoretical guarantees for aggregation, join, and sorting. Demonstrates scalable system implementations that achieve orders-of-magnitude speedups over topology-oblivious baselines. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
344
Venue
CIDR
Year
2020
Pagerank
5.4349805e-05
Overall Rank
8,394 | 42.42%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{blanas_cidr20,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '20},
        title = {{Topology-aware Parallel Data Processing: Models, Algorithms and Systems at Scale}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Blanas, Spyros and Koutris, Paraschos and Sidiropoulos, Anastasios},
        year = {2020}
}

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