Evolving Teradata Decision Support for Massively Parallel Processing with UNIX
Summary: UNIX port of Teradata's shared-nothing MPP with BYNET interconnect enables scalable, modular growth. Highlights: 32-bit executable steps, 64K hash buckets for improved load balancing, and virtual processors replacing physical CPUs for flexible parallelism. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Carrie Ballinger (AT&T)
BibTeX Citation
@inproceedings{ballinger_sigmod94,
title = {{Evolving Teradata Decision Support for Massively Parallel Processing with UNIX}},
author = {Ballinger, Carrie},
series = {{SIGMOD} '94},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/191839.191944},
url = {https://dl.acm.org/doi/10.1145/191839.191944},
year = {1994}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,926 | Joins over UNION ALL Queries in Teradata®: Demonstration of Optimized Execution | 2018 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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|---|
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