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 (Duke University)
- 2. Herodotos Herodotou (Duke University)
- 3. Jun Yang (Duke University)
BibTeX Citation
@inproceedings{zhang_cidr09,
address = {Amsterdam, Netherlands},
series = {{CIDR} '09},
title = {{RIOT: I/O-Efficient Numerical Computing without SQL}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Zhang, Yi and Herodotou, Herodotos and Yang, Jun},
year = {2009}
}
Incoming Citations (Sorted by Pagerank)
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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 |
|---|---|---|---|---|
| 6 | Pig Latin: A Not-So-Foreign Language for Data Processing | 2008 | SIGMOD | 0.0010686205 |
| 972 | Declarative Networking: Language, Execution and Optimization | 2006 | SIGMOD | 0.00012874501 |
| 2,451 | One Size Fits All? – Part 2: Benchmarking Results | 2007 | CIDR | 8.560157e-05 |
| 4,527 | Spatio-Temporal Retrieval with RasDaMan | 1999 | VLDB | 6.6449663e-05 |
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