RIOT: I/O-Efficient Numerical Computing without SQL
Summary: RIOT transparently makes R I/O-efficient by intercepting array/numeric operations and executing them on a DB backend without exposing SQL or requiring user code changes. Prototype RIOT-DB uses cross-operation, high-level optimizations to outperform vanilla R on out-of-core workloads. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yi Zhang
- 2. Herodotos Herodotou
- 3. Jun Yang
Incoming Citations (Sorted by Pagerank)
Showing 22 of 22 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3 | Pig Latin: A Not-So-Foreign Language for Data Processing | 2008 | SIGMOD | 0.0024183614 |
| 778 | Declarative Networking: Language, Execution and Optimization | 2006 | SIGMOD | 0.00016791276 |
| 2,508 | One Size Fits All? – Part 2: Benchmarking Results | 2007 | CIDR | 8.6308132e-05 |
| 3,983 | Spatio-Temporal Retrieval with RasDaMan | 1999 | VLDB | 6.5642684e-05 |
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