A scalable computational approach to political redistricting optimization

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present the experience of developing a scalable computational approach to political redistricting optimization by enhancing a parallel genetic algorithm library on XSEDE and Blue Waters.

Original languageEnglish (US)
Title of host publicationProceedings of the XSEDE 2015 Conference
Subtitle of host publicationScientific Advancements Enabled by Enhanced Cyberinfrastructure
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450337205
DOIs
StatePublished - Jul 26 2015
Event4th Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2015 - St. Louis, United States
Duration: Jul 26 2015Jul 30 2015

Publication series

NameACM International Conference Proceeding Series
Volume2015-July

Other

Other4th Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2015
CountryUnited States
CitySt. Louis
Period7/26/157/30/15

Fingerprint

Parallel algorithms
Genetic algorithms
Water

Keywords

  • Genetic algorithm
  • Message passing
  • Parallel computing

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Cite this

Liu, Y. Y., Cho, W. K. T., & Wang, S. (2015). A scalable computational approach to political redistricting optimization. In Proceedings of the XSEDE 2015 Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure [a6] (ACM International Conference Proceeding Series; Vol. 2015-July). Association for Computing Machinery. https://doi.org/10.1145/2792745.2792751

A scalable computational approach to political redistricting optimization. / Liu, Yan Y.; Cho, Wendy K Tam; Wang, Shaowen.

Proceedings of the XSEDE 2015 Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure. Association for Computing Machinery, 2015. a6 (ACM International Conference Proceeding Series; Vol. 2015-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Liu, YY, Cho, WKT & Wang, S 2015, A scalable computational approach to political redistricting optimization. in Proceedings of the XSEDE 2015 Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure., a6, ACM International Conference Proceeding Series, vol. 2015-July, Association for Computing Machinery, 4th Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2015, St. Louis, United States, 7/26/15. https://doi.org/10.1145/2792745.2792751
Liu YY, Cho WKT, Wang S. A scalable computational approach to political redistricting optimization. In Proceedings of the XSEDE 2015 Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure. Association for Computing Machinery. 2015. a6. (ACM International Conference Proceeding Series). https://doi.org/10.1145/2792745.2792751
Liu, Yan Y. ; Cho, Wendy K Tam ; Wang, Shaowen. / A scalable computational approach to political redistricting optimization. Proceedings of the XSEDE 2015 Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure. Association for Computing Machinery, 2015. (ACM International Conference Proceeding Series).
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