Improving Suffix Array Locality for Fast Pattern Matching on Disk
Summary: Disk-aware suffix array layout using a small trie plus a blocked SA-like structure; improves locality for on-disk pattern matching. Queries run up to 3x faster than the best disk-based SA arrangements, with modest extra processing beyond suffix-tree build and negligible extra memory. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Ranjan Sinha
- 2. Simon J. Puglisi
- 3. Alistair Moffat
- 4. Andrew Turpin
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,250 | Genome-scale Disk-based Suffix Tree Indexing | 2007 | SIGMOD | 9.2009942e-05 |
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