An Architecture for Parallel Topic Models

Summary: Parallel topic-model sampling on a workstation cluster; scales to hundreds of millions of documents and thousands of topics. Distributed key-value state sharing removes separate sync phases; disk, CPU, and network work in parallel; extendable to n-grams and hierarchies. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: h89c3c8f4364d8e22
Venue: VLDB
Year: 2010
Pagerank: 0.00017791851
Overall Rank: 464 | 96.89%
DOI: 10.14778/1920841.1920931

Incoming Non-self Citations Over Time

Authors

1. Alexander Smola (Australian National University; Yahoo)
2. Shravan Narayanamurthy (Yahoo)

BibTeX Citation

@article{smola_vldb10,
        title = {{An Architecture for Parallel Topic Models}},
        author = {Smola, Alexander and Narayanamurthy, Shravan},
        journal = {PVLDB},
        series = {{VLDB} '10},
        volume = {3},
        number = {1},
        pages = {703--710},
        doi = {10.14778/1920841.1920931},
        url = {https://doi.org/10.14778/1920841.1920931},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

Showing 19 of 19 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
22	Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud	2012	VLDB	0.00055962491
1,009	Simulation of Database-Valued Markov Chains Using SimSQL	2013	SIGMOD	0.00012539827
1,167	DimmWitted: A Study of Main-Memory Statistical Analytics	2014	VLDB	0.00011729888
2,184	Heterogeneity-aware Distributed Parameter Servers	2017	SIGMOD	8.8958335e-05
2,400	Declarative Recursive Computation on an RDBMS or, Why You Should Use a Database For Distributed Machine Learning	2019	VLDB	8.5213814e-05
2,667	NOMAD: Non-locking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion	2014	VLDB	8.1554821e-05
2,725	FlexPS: Flexible Parallelism Control in Parameter Server Architecture	2018	VLDB	8.090861e-05
3,668	TopoX: Topology Refactorization for Efficient Graph Partitioning and Processing	2019	VLDB	7.1131403e-05
3,788	Large-Scale Machine Learning at Twitter	2012	SIGMOD	7.0195464e-05
3,862	Husky: Towards a More Efficient and Expressive Distributed Computing Framework	2016	VLDB	6.9652009e-05
4,029	Towards High-Throughput Gibbs Sampling at Scale: A Study across Storage Managers	2013	SIGMOD	6.8419186e-05
5,633	NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter Access	2022	SIGMOD	6.0578661e-05
6,640	Dynamic Parameter Allocation in Parameter Servers	2020	VLDB	5.7251952e-05
7,839	ExDRa: Exploratory Data Science on Federated Raw Data	2021	SIGMOD	5.4432099e-05
8,488	Just Move It! Dynamic Parameter Allocation in Action	2021	VLDB	5.3317701e-05
12,296	LDA*: A Robust and Large-scale Topic Modeling System	2017	VLDB	4.9793485e-05
12,298	Runtime Optimization of Join Location in Parallel Data Management Systems	2017	VLDB	4.9793485e-05
12,317	Toward High-Performance Distributed Stream Processing via Approximate Fault Tolerance	2017	VLDB	4.9793485e-05
12,330	Topic Exploration in Spatio-Temporal Document Collections	2016	SIGMOD	4.9793485e-05

Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	9,498	Scalable Topical Phrase Mining from Text Corpora	2015	VLDB
2	7,815	Mining Tree-Structured Data on Multicore Systems	2009	VLDB
3	13,768	Scalable Community Detection via Parallel Correlation Clustering	2021	VLDB
4	11,531	Language-Model Based Informed Partition of Databases to Speed Up Pattern Mining	2024	SIGMOD
5	12,330	Topic Exploration in Spatio-Temporal Document Collections	2016	SIGMOD
6	1,141	Latent Semantic Indexing: A Probabilistic Analysis	1998	PODS
7	8,550	Topology-aware Parallel Data Processing: Models, Algorithms and Systems at Scale	2020	CIDR
8	7,109	WarpLDA: a Cache Efficient O(1) Algorithm for Latent Dirichlet Allocation	2016	VLDB
9	13,842	Scalable Training of Hierarchical Topic Models	2018	VLDB
10	12,296	LDA*: A Robust and Large-scale Topic Modeling System	2017	VLDB