Towards High-Throughput Gibbs Sampling at Scale: A Study across Storage Managers
Summary: Investigates high-throughput Gibbs sampling for large factor graphs, showing materialization, page layout, and buffer choices must be redesigned for beyond-memory workloads. On HBase and Unix-file backends, a simple prototype achieves competitive throughput for graphs larger than memory, outperforming baselines by up to 100x. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ce Zhang (University of Wisconsin)
- 2. Christopher Ré (University of Wisconsin)
BibTeX Citation
@inproceedings{zhang_sigmod13,
title = {{Towards High-Throughput Gibbs Sampling at Scale: A Study across Storage Managers}},
author = {Zhang, Ce and Ré, Christopher},
series = {{SIGMOD} '13},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2463676.2463702},
url = {https://dl.acm.org/doi/10.1145/2463676.2463702},
year = {2013}
}
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 579 | Incremental Knowledge Base Construction Using DeepDive | 2015 | VLDB | 0.00016217563 |
| 1,250 | Data Management in Machine Learning: Challenges, Techniques, and Systems | 2017 | SIGMOD | 0.00011485301 |
| 2,990 | Knowledge Expansion over Probabilistic Knowledge Bases | 2014 | SIGMOD | 7.8883704e-05 |
| 4,410 | Extracting Databases from Dark Data with DeepDive | 2016 | SIGMOD | 6.717496e-05 |
| 4,490 | SlimShot: In-Database Probabilistic Inference for Knowledge Bases | 2016 | VLDB | 6.6666905e-05 |
| 5,225 | Approximate Lifted Inference with Probabilistic Databases | 2015 | VLDB | 6.310093e-05 |
| 6,881 | GeoDeepDive: Statistical Inference using Familiar Data-Processing Languages | 2013 | SIGMOD | 5.7469874e-05 |
| 8,084 | Symmetric Weighted First-Order Model Counting | 2015 | PODS | 5.4910538e-05 |
| 11,923 | A Demonstration of Sya: A Spatial Probabilistic Knowledge Base Construction System | 2018 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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