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Serial and Parallel Methods for I/O Efficient Suffix Tree Construction

Summary: Suffix-tree construction re-architected as a tiled, constant-working-set workflow for I/O-efficient scaling beyond main memory. On massively parallel platforms (Blue Gene/L), locality-aware design and efficient communication yield major speedups, indexing the human genome on 1024 CPUs in under 15 minutes. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4229
Venue
SIGMOD
Year
2009
Pagerank
6.3019356e-05
Overall Rank
5,242 | 64.04%
DOI
10.1145/1559845.1559931

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ghoting_sigmod09,
        title = {{Serial and Parallel Methods for I/O Efficient Suffix Tree Construction}},
        author = {Ghoting, Amol and Makarychev, Konstantin},
        series = {{SIGMOD} '09},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1559845.1559931},
        url = {https://dl.acm.org/doi/10.1145/1559845.1559931},
        year = {2009}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

Rank Cited Paper Year Venue Pagerank
2,008 A Database Index to Large Biological Sequences 2001 VLDB 9.310515e-05
3,077 Genome-scale Disk-based Suffix Tree Indexing 2007 SIGMOD 7.7810685e-05
3,164 OASIS: An Online and Accurate Technique for Local-alignment Searches on Biological Sequences 2003 VLDB 7.6778551e-05
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