NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter Access
Summary: NuPS: a parameter server optimized for non-uniform parameter access. It selects per-parameter management techniques and adds sampling primitives with controlled quality–efficiency trade-offs to address skew and locality, yielding up to 10x speedups and linear scalability. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Alexander Renz-Wieland
- 2. Rainer Gemulla
- 3. Zoi Kaoudi
- 4. Volker Markl
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,997 | PetPS: Supporting Huge Embedding Models with Persistent Memory | 2023 | VLDB | 4.8629617e-05 |
| 9,331 | BladeDISC: Optimizing Dynamic Shape Machine Learning Workloads via Compiler Approach | 2023 | SIGMOD | 4.351469e-05 |
| 9,603 | Saturn: An Optimized Data System for Multi-Large-Model Deep Learning Workloads | 2024 | VLDB | 4.3136057e-05 |
| 9,787 | The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format | 2024 | SIGMOD | 4.2799988e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 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 |
| 2,446 | FlexPS: Flexible Parallelism Control in Parameter Server Architecture | 2018 | VLDB | 8.7988018e-05 |
| 3,300 | Distributed Algorithms For Dynamic Replication Of Data | 1992 | PODS | 7.2516673e-05 |
| 4,972 | PS2: Parameter Server on Spark | 2019 | SIGMOD | 5.7894524e-05 |
| 5,383 | Parallel Training of Knowledge Graph Embedding Models: A Comparison of Techniques | 2022 | VLDB | 5.5357645e-05 |
| 6,482 | Dynamic Parameter Allocation in Parameter Servers | 2020 | VLDB | 5.0396586e-05 |
| 8,052 | Just Move It! Dynamic Parameter Allocation in Action | 2021 | VLDB | 4.5925868e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 411 | PyTorch Distributed: Experiences on Accelerating Data Parallel Training | 2020 | VLDB | 0.00023881138 |
| 4,972 | PS2: Parameter Server on Spark | 2019 | SIGMOD | 5.7894524e-05 |
| 543 | MLbase: A Distributed Machine-learning System | 2013 | CIDR | 0.0002050918 |
| 8,117 | SDPipe: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel Training | 2023 | VLDB | 4.5788485e-05 |
| 5,332 | Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce | 2021 | SIGMOD | 5.5640779e-05 |
| 9,196 | Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale | 2022 | VLDB | 4.3723457e-05 |
| 8,052 | Just Move It! Dynamic Parameter Allocation in Action | 2021 | VLDB | 4.5925868e-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 |
| 6,482 | Dynamic Parameter Allocation in Parameter Servers | 2020 | VLDB | 5.0396586e-05 |