RACE: A Scalable and Elastic Parallel System for Discovering Repeats in Very Long Sequences
Summary: RACE is a scalable, elastic parallel system for discovering maximal repeats in very long sequences. It operates without requiring input or index in memory, scales from multicore to thousands of nodes, uses cache-efficient arrays, and features a cost model for elastic cloud provisioning. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Essam Mansour
- 2. Ahmed El-Roby
- 3. Panos Kalnis
- 4. Aron Ahmadia
- 5. Ashraf Aboulnaga
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,025 | Genome-scale Disk-based Suffix Tree Indexing | 2007 | SIGMOD | 7.9015792e-05 |
| 5,171 | Serial and Parallel Methods for I/O Efficient Suffix Tree Construction | 2009 | SIGMOD | 6.3995379e-05 |
| 6,938 | ERA: Efficient Serial and Parallel Suffix Tree Construction for Very Long Strings | 2012 | VLDB | 5.8044765e-05 |
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