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 |
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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
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 proceeding › Conference contribution
}
TY - GEN
T1 - A scalable computational approach to political redistricting optimization
AU - Liu, Yan Y.
AU - Cho, Wendy K Tam
AU - Wang, Shaowen
PY - 2015/7/26
Y1 - 2015/7/26
N2 - 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.
AB - 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.
KW - Genetic algorithm
KW - Message passing
KW - Parallel computing
UR - http://www.scopus.com/inward/record.url?scp=84942804953&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84942804953&partnerID=8YFLogxK
U2 - 10.1145/2792745.2792751
DO - 10.1145/2792745.2792751
M3 - Conference contribution
AN - SCOPUS:84942804953
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the XSEDE 2015 Conference
PB - Association for Computing Machinery
ER -