The Effect of Target Applications on the Design of Database Machines

Summary: Classifies database machines by DM organization; defines effective instruction rate as a workload-aware metric. Performance hinges on partitioning DM CPUs vs the managing CPU; business favors single, bibliographic disk-based multi, statistics hybrids. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 2219
Venue: SIGMOD
Year: 1981
Pagerank: 5.093636e-05
Overall Rank: 13,271 | 8.95%
DOI: 10.1145/582318.582347

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Paula Hawthorn (Lawrence Berkeley National Laboratory)

BibTeX Citation

@inproceedings{hawthorn_sigmod81,
        title = {{The Effect of Target Applications on the Design of Database Machines}},
        author = {Hawthorn, Paula},
        series = {{SIGMOD} '81},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/582318.582347},
        url = {https://dl.acm.org/doi/10.1145/582318.582347},
        year = {1981}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
4,716	Microprocessor Assisted Tuple Access, Decompression and Assembly for Statistical Database Systems	1982	VLDB	6.5483564e-05

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
2,170	Query Execution in DIRECT	1979	SIGMOD	9.042724e-05
5,189	Performance Analysis of a Relational Data Base Management System	1979	SIGMOD	6.3272576e-05

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