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 language | English (US) |
|---|---|
| Title of host publication | Proceedings of the XSEDE 2015 Conference |
| Subtitle of host publication | Scientific Advancements Enabled by Enhanced Cyberinfrastructure |
| Publisher | Association for Computing Machinery |
| ISBN (Electronic) | 9781450337205 |
| DOIs | |
| State | Published - Jul 26 2015 |
| Event | 4th Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2015 - St. Louis, United States Duration: Jul 26 2015 → Jul 30 2015 |
Publication series
| Name | ACM International Conference Proceeding Series |
|---|---|
| Volume | 2015-July |
Other
| Other | 4th Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2015 |
|---|---|
| Country | United States |
| City | St. Louis |
| Period | 7/26/15 → 7/30/15 |
Keywords
- Genetic algorithm
- Message passing
- Parallel computing
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
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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