RECEIPT: REfine CoarsE-grained IndePendent Tasks for Parallel Tip decomposition of Bipartite Graphs
Summary: RECEIPT parallelizes bipartite tip decomposition by relaxing minimum-butterfly peeling into coarsely grained independent vertex tasks, reducing synchronization and wedge exploration. A hybrid peeling strategy yields up to 1100× fewer synchronizations, 64× fewer wedges, and 17.1× speedup. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kartik Lakhotia (University of Southern California)
- 2. Rajgopal Kannan (U.S. Army Research Laboratory)
- 3. Viktor Prasanna (University of Southern California)
- 4. Cesar A. F. De Rose (Pontifical Catholic University of Rio Grande do Sul)
BibTeX Citation
@article{lakhotia_vldb21,
title = {{RECEIPT: REfine CoarsE-grained IndePendent Tasks for Parallel Tip decomposition of Bipartite Graphs}},
author = {Lakhotia, Kartik and Kannan, Rajgopal and Prasanna, Viktor and De Rose, Cesar A. F.},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {3},
pages = {404--417},
doi = {10.14778/3430915.3430929},
url = {https://doi.org/10.14778/3430915.3430929},
year = {2021}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,368 | Theoretically and Practically Efficient Parallel Nucleus Decomposition | 2022 | VLDB | 5.8975125e-05 |
| 9,695 | Parallel Algorithms for Hierarchical Nucleus Decomposition | 2024 | SIGMOD | 5.2351259e-05 |
| 10,941 | Effective and Efficient Community Search for Complex Network Semantics Capture: From Coarse-Grain to Fine-Grain | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 18 of 18 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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