Distributed Data-Parallel Computing Using a High-Level Programming Language
Summary: Dryad and DryadLINQ offer a general-purpose, data-parallel engine with a strongly typed .NET object model. It auto-translates LINQ programs into distributed execution plans on Dryad, enabling scalable data processing beyond SQL/MapReduce. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Michael Isard (Microsoft)
- 2. Yuan Yu (Microsoft)
BibTeX Citation
@inproceedings{isard_sigmod09,
title = {{Distributed Data-Parallel Computing Using a High-Level Programming Language}},
author = {Isard, Michael and Yu, Yuan},
series = {{SIGMOD} '09},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1559845.1559962},
url = {https://dl.acm.org/doi/10.1145/1559845.1559962},
year = {2009}
}Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 23 | Spark SQL: Relational Data Processing in Spark | 2015 | SIGMOD | 0.00055406774 |
| 432 | Shark: SQL and Rich Analytics at Scale | 2013 | SIGMOD | 0.00018339357 |
| 2,410 | epiC: an Extensible and Scalable System for Processing Big Data | 2014 | VLDB | 8.5114032e-05 |
| 2,979 | StatusQuo: Making Familiar Abstractions Perform Using Program Analysis | 2013 | CIDR | 7.789233e-05 |
| 5,001 | GLADE: Big Data Analytics Made Easy | 2012 | SIGMOD | 6.3197648e-05 |
| 8,624 | Piranha: Optimizing Short Jobs in Hadoop | 2013 | VLDB | 5.3009314e-05 |
| 9,283 | AT-GIS: Highly Parallel Spatial Query Processing with Associative Transducers | 2016 | SIGMOD | 5.203265e-05 |
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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 | 0.001052036 |
| 30 | SCOPE: Easy and Efficient Parallel Processing of Massive Data Sets | 2008 | VLDB | 0.00050495102 |
| 93 | Encapsulation of Parallelism in the Volcano Query Processing System | 1990 | SIGMOD | 0.00034622929 |
| 4,708 | Parallel SQL Execution in Oracle 10g | 2004 | SIGMOD | 6.4582128e-05 |
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