Cache-conscious Frequent Pattern Mining on a Modern Processor
Summary: Identifies poor locality and low ILP as key bottlenecks in frequent-pattern mining on modern CPUs. A cache-conscious prefix tree, tiling, and cache-reusing fine-grained threading deliver up to 4.8× speedup over state of the art. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Amol Ghoting (Ohio State University)
- 2. Gregory Buehrer (Ohio State University)
- 3. Srinivasan Parthasarathy (Ohio State University)
- 4. Daehyun Kim (Intel)
- 5. Anthony Nguyen (Intel)
- 6. Yen-Kuang Chen (Intel)
- 7. Pradeep Dubey (Intel)
BibTeX Citation
@article{ghoting_vldb05,
title = {{Cache-conscious Frequent Pattern Mining on a Modern Processor}},
author = {Ghoting, Amol and Buehrer, Gregory and Parthasarathy, Srinivasan and Kim, Daehyun and Nguyen, Anthony and Chen, Yen-Kuang and Dubey, Pradeep},
journal = {PVLDB},
series = {{VLDB} '05},
year = {2005}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,150 | DimmWitted: A Study of Main-Memory Statistical Analytics | 2014 | VLDB | 0.00011943462 |
| 1,511 | Speedup Graph Processing by Graph Ordering | 2016 | SIGMOD | 0.00010538011 |
| 8,315 | ADDICT: Advanced Instruction Chasing for Transactions | 2014 | VLDB | 5.4553606e-05 |
| 12,656 | Optimization of Frequent Itemset Mining on Multiple-Core Processor | 2007 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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