Just Move It! Dynamic Parameter Allocation in Action
Summary: Dynamic parameter allocation in parameter servers enables adaptive resource use for distributed ML. Lapse, an open-source PS with live visualization, demonstrates order-of-magnitude speedups over other PSs and near-linear gains versus single-machine baselines via interactive analysis. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Alexander Renz-Wieland
- 2. Tobias Drobisch
- 3. Zoi Kaoudi
- 4. Rainer Gemulla
- 5. Volker Markl
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,169 | HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training | 2022 | SIGMOD | 5.642415e-05 |
| 5,992 | NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter Access | 2022 | SIGMOD | 5.2380905e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 39 | Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud | 2012 | VLDB | 0.00075263552 |
| 330 | An Architecture for Parallel Topic Models | 2010 | VLDB | 0.00027271063 |
| 1,946 | Heterogeneity-aware Distributed Parameter Servers | 2017 | SIGMOD | 9.9983926e-05 |
| 2,037 | NOMAD: Non-locking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion | 2014 | VLDB | 9.7063185e-05 |
| 2,446 | FlexPS: Flexible Parallelism Control in Parameter Server Architecture | 2018 | VLDB | 8.7988018e-05 |
| 4,972 | PS2: Parameter Server on Spark | 2019 | SIGMOD | 5.7894524e-05 |
| 6,482 | Dynamic Parameter Allocation in Parameter Servers | 2020 | VLDB | 5.0396586e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,972 | PS2: Parameter Server on Spark | 2019 | SIGMOD | 5.7894524e-05 |
| 4,807 | Resource Elasticity for Large-Scale Machine Learning | 2015 | SIGMOD | 5.9045148e-05 |
| 8,117 | SDPipe: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel Training | 2023 | VLDB | 4.5788485e-05 |
| 6,997 | PetPS: Supporting Huge Embedding Models with Persistent Memory | 2023 | VLDB | 4.8629617e-05 |
| 543 | MLbase: A Distributed Machine-learning System | 2013 | CIDR | 0.0002050918 |
| 5,332 | Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce | 2021 | SIGMOD | 5.5640779e-05 |
| 1,946 | Heterogeneity-aware Distributed Parameter Servers | 2017 | SIGMOD | 9.9983926e-05 |
| 2,446 | FlexPS: Flexible Parallelism Control in Parameter Server Architecture | 2018 | VLDB | 8.7988018e-05 |
| 5,992 | NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter Access | 2022 | SIGMOD | 5.2380905e-05 |
| 6,482 | Dynamic Parameter Allocation in Parameter Servers | 2020 | VLDB | 5.0396586e-05 |