GRAIL: AI translation for scientists application workflow on satellite data
Summary: GRAIL translates scientists’ Python satellite-imagery workflows into scalable Spark programs without requiring framework expertise. Its novelty is an LLM-ready RDPro adaptation plus LangGraph’s structured, repair-oriented generation pipeline, enabling targeted error correction rather than full-program regeneration. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Zhuocheng Shang (University of California Riverside)
- 2. Ahmed Eldawy (University of California Riverside)
BibTeX Citation
@article{shang_vldb26,
title = {{GRAIL: AI translation for scientists application workflow on satellite data}},
author = {Shang, Zhuocheng and Eldawy, Ahmed},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {4542--4545},
doi = {10.14778/3827998.3828061},
url = {https://doi.org/10.14778/3827998.3828061},
year = {2026}
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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 |
|---|---|---|---|---|
| 11,440 | RDPro: Distributed Processing of Big Raster Data | 2025 | VLDB | 4.9793485e-05 |
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