Conference item
Parallel ADMM for robust quadratic optimal resource allocation problems
- Abstract:
- An alternating direction method of multipliers (ADMM) solver is described for optimal resource allocation problems with separable convex quadratic costs and constraints and linear coupling constraints. We describe a parallel implementation of the solver on a graphics processing unit (GPU) using a bespoke quartic function minimizer. An application to robust optimal energy management in hybrid electric vehicles is described, and the results of numerical simulations comparing the computation times of the parallel GPU implementation with those of an equivalent serial implementation are presented.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Authors
- Publisher:
- IEEE
- Host title:
- 2019 American Control Conference (ACC)
- Journal:
- 2019 American Control Conference More from this journal
- Pages:
- 3402-3407
- Publication date:
- 2019-08-29
- Acceptance date:
- 2019-01-27
- ISSN:
-
2378-5861
- ISBN:
- 9781538679265
- Pubs id:
-
pubs:983112
- UUID:
-
uuid:57cd330c-d17d-417f-8764-ffb86971258f
- Local pid:
-
pubs:983112
- Source identifiers:
-
983112
- Deposit date:
-
2019-03-16
Terms of use
- Copyright holder:
- AACC
- Copyright date:
- 2019
- Notes:
- Copyright © 2019 AACC. This is the accepted manuscript version of the article. The final version is available online from IEEE at: https://ieeexplore.ieee.org/document/8814898
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