Query Processing for Massively Parallel Systems

doctoral thesis by Paraschos Koutris, Computer Science & Engineering, University of Washington, 2015
Place doctoral_thesis Q113668302
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Query Processing for Massively Parallel Systems

Summary

Query Processing for Massively Parallel Systems is a doctoral thesis[1].

Key Facts

  • Query Processing for Massively Parallel Systems authored Paris Koutris[2].
  • Query Processing for Massively Parallel Systems's instance of is recorded as doctoral thesis[3].
  • Query Processing for Massively Parallel Systems's OCLC number is recorded as 933743007[4].
  • Query Processing for Massively Parallel Systems's language of work or name is recorded as English[5].
  • +2015-00-00T00:00:00Z marks the founding of Query Processing for Massively Parallel Systems[6].
  • Query Processing for Massively Parallel Systems's work available at URL is recorded as http://hdl.handle.net/1773/33697[7].
  • Query Processing for Massively Parallel Systems's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q1069725', 'amount': '+128'}[8].
  • Query Processing for Massively Parallel Systems's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q56761382', 'amount': '+6'}[9].
  • Query Processing for Massively Parallel Systems's Handle ID is recorded as 1773/33697[10].
  • Query Processing for Massively Parallel Systems's title is recorded as Query Processing for Massively Parallel Systems[11].
  • Query Processing for Massively Parallel Systems's thesis submitted to is recorded as University of Washington[12].
  • Query Processing for Massively Parallel Systems's on focus list of Wikimedia project is recorded as WikiProject PCC Wikidata Pilot/University of Washington[13].
  • Query Processing for Massively Parallel Systems's thesis committee member is recorded as Dan Suciu[14].

Body

Designation and Status

Query Processing for Massively Parallel Systems's instance of is recorded as doctoral thesis[3].

History and Context

+2015-00-00T00:00:00Z marks the founding of Query Processing for Massively Parallel Systems[6].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [3] . WorldCat. Retrieved . wikidata.org.
  2. [2] . WorldCat. Retrieved . wikidata.org.
  3. [4] . WorldCat. Retrieved . wikidata.org.
  4. [5] . WorldCat. Retrieved . wikidata.org.
  5. [6] . WorldCat. Retrieved . wikidata.org.
  6. [7] . WorldCat. Retrieved . wikidata.org.
  7. [8] . WorldCat. Retrieved . wikidata.org.
  8. [9] . WorldCat. Retrieved . wikidata.org.
  9. [10] . WorldCat. Retrieved . wikidata.org.
  10. [11] . WorldCat. Retrieved . wikidata.org.
  11. [12] . WorldCat. Retrieved . wikidata.org.
  12. [13] . wikidata.org.
  13. [14] . WorldCat. Retrieved . wikidata.org.

Class ancestry

  1. [1] . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Query Processing for Massively Parallel Systems. Retrieved May 3, 2026, from https://4ort.xyz/entity/query-processing-for-massively-parallel-systems
MLA “Query Processing for Massively Parallel Systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/query-processing-for-massively-parallel-systems.
BibTeX @misc{4ortxyz_query-processing-for-massively-parallel-systems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Query Processing for Massively Parallel Systems}}, year = {2026}, url = {https://4ort.xyz/entity/query-processing-for-massively-parallel-systems}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Query Processing for Massively Parallel Systems — https://4ort.xyz/entity/query-processing-for-massively-parallel-systems (retrieved 2026-05-03)

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