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Automated Parallelization to Improve Usability and Efficiency of Distributed Neural Network Training

master's thesis by Nathaniel J. Grabaskas, Computer Science & Engineering, University of Washington, 2018
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Automated Parallelization to Improve Usability and Efficiency of Distributed Neural Network Training

Summary

Automated Parallelization to Improve Usability and Efficiency of Distributed Neural Network Training is a master's thesis[1].

Key Facts

  • Automated Parallelization to Improve Usability and Efficiency of Distributed Neural Network Training authored Nathaniel J. Grabaskas[2].
  • Automated Parallelization to Improve Usability and Efficiency of Distributed Neural Network Training's instance of is recorded as master's thesis[3].
  • Automated Parallelization to Improve Usability and Efficiency of Distributed Neural Network Training's OCLC number is recorded as 1043358503[4].
  • Automated Parallelization to Improve Usability and Efficiency of Distributed Neural Network Training's language of work or name is recorded as English[5].
  • +2018-00-00T00:00:00Z marks the founding of Automated Parallelization to Improve Usability and Efficiency of Distributed Neural Network Training[6].
  • Automated Parallelization to Improve Usability and Efficiency of Distributed Neural Network Training's work available at URL is recorded as http://hdl.handle.net/1773/41725[7].
  • Automated Parallelization to Improve Usability and Efficiency of Distributed Neural Network Training's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q1069725', 'amount': '+95'}[8].
  • Automated Parallelization to Improve Usability and Efficiency of Distributed Neural Network Training's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q56761382', 'amount': '+9'}[9].
  • Automated Parallelization to Improve Usability and Efficiency of Distributed Neural Network Training's Handle ID is recorded as 1773/41725[10].
  • Automated Parallelization to Improve Usability and Efficiency of Distributed Neural Network Training's title is recorded as Automated Parallelization to Improve Usability and Efficiency of Distributed Neural Network Training[11].
  • Automated Parallelization to Improve Usability and Efficiency of Distributed Neural Network Training's thesis submitted to is recorded as University of Washington[12].
  • Automated Parallelization to Improve Usability and Efficiency of Distributed Neural Network Training's on focus list of Wikimedia project is recorded as WikiProject PCC Wikidata Pilot/University of Washington[13].
  • Automated Parallelization to Improve Usability and Efficiency of Distributed Neural Network Training's thesis committee member is recorded as Munehiro Fukuda[14].

Body

Designation and Status

Automated Parallelization to Improve Usability and Efficiency of Distributed Neural Network Training's instance of is recorded as master's thesis[3].

History and Context

+2018-00-00T00:00:00Z marks the founding of Automated Parallelization to Improve Usability and Efficiency of Distributed Neural Network Training[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.

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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). Automated Parallelization to Improve Usability and Efficiency of Distributed Neural Network Training. Retrieved May 3, 2026, from https://4ort.xyz/entity/automated-parallelization-to-improve-usability-and-efficiency-of-distributed-neural-network-training
MLA “Automated Parallelization to Improve Usability and Efficiency of Distributed Neural Network Training.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/automated-parallelization-to-improve-usability-and-efficiency-of-distributed-neural-network-training.
BibTeX @misc{4ortxyz_automated-parallelization-to-improve-usability-and-efficiency-of-distributed-neural-network-training_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automated Parallelization to Improve Usability and Efficiency of Distributed Neural Network Training}}, year = {2026}, url = {https://4ort.xyz/entity/automated-parallelization-to-improve-usability-and-efficiency-of-distributed-neural-network-training}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automated Parallelization to Improve Usability and Efficiency of Distributed Neural Network Training — https://4ort.xyz/entity/automated-parallelization-to-improve-usability-and-efficiency-of-distributed-neural-network-training (retrieved 2026-05-03)

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