X-TED: Massive Parallelization of Tree Edit Distance
Summary: X-TED: GPU framework that massive-parallelizes tree edit distance by preprocessing to expose dependencies among millions of DP tables and by dynamic, stage-adaptive scheduling to optimize GPU core and memory use. Outperforms AP‑TED by up to 42× and MC‑TED by ~31×. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Dayi Fan (Ohio State University)
- 2. Rubao Lee (Independent)
- 3. Xiaodong Zhang (Ohio State University)
BibTeX Citation
@article{fan_vldb24,
title = {{X-TED: Massive Parallelization of Tree Edit Distance}},
author = {Fan, Dayi and Lee, Rubao and Zhang, Xiaodong},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {7},
pages = {1683--1696},
doi = {10.14778/3654621.3654634},
url = {https://doi.org/10.14778/3654621.3654634},
year = {2024}
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 823 | The Yin and Yang of Processing Data Warehousing Queries on GPU Devices | 2013 | VLDB | 0.00013792901 |
| 2,498 | Mega-KV: A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores | 2015 | VLDB | 8.5016595e-05 |
| 2,699 | Approximate XML Joins | 2002 | SIGMOD | 8.2433011e-05 |
| 3,047 | Similarity Evaluation on Tree-structured Data | 2005 | SIGMOD | 7.8155543e-05 |
| 3,165 | RTED: A Robust Algorithm for the Tree Edit Distance | 2012 | VLDB | 7.6759052e-05 |
| 4,603 | The Art of Balance: A RateupDB Experience of Building a CPU/GPU Hybrid Database Product | 2021 | VLDB | 6.6105578e-05 |
| 7,476 | SyncSignature: A Simple, Efficient, Parallelizable Framework for Tree Similarity Joins | 2023 | VLDB | 5.6090634e-05 |
| 8,580 | Accelerating Pathology Image Data Cross-Comparison on CPU-GPU Hybrid Systems | 2012 | VLDB | 5.4082911e-05 |
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