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Dynamic Parameter Allocation in Parameter Servers

Summary: Introduces dynamic parameter allocation to parameter servers, enabling parameter-access locality (PAL) for distributed ML. Lapse implements this design efficiently, achieving near-linear scaling and orders-of-magnitude speedups over existing systems. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12274
Venue
VLDB
Year
2020
Pagerank
5.8536062e-05
Overall Rank
6,519 | 55.28%
DOI
10.14778/3407790.3407796

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{renzwieland_vldb20,
        title = {{Dynamic Parameter Allocation in Parameter Servers}},
        author = {Renz-Wieland, Alexander and Gemulla, Rainer and Zeuch, Steffen and Markl, Volker},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {11},
        pages = {1877--1890},
        doi = {10.14778/3407790.3407796},
        url = {https://doi.org/10.14778/3407790.3407796},
        year = {2020}
}

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