mpi-sppy: Optimization Under Uncertainty for Pyomo
Conference
·
OSTI ID:1721736
We introduce a new Pyomo extension for optimization under uncertainty, mpi-sppy. This extension allows for the mixing of, and sharing of information between, various algorithmic approaches for optimization under uncertainty. We will discuss the underlying architecture and assess the performance and scalability of mpi-sppy on various systems, including HPC clusters.
- Research Organization:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Advanced Research Projects Agency - Energy (ARPA-E)
- DOE Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1721736
- Report Number(s):
- NREL/PR-2C00-78043; MainId:31952; UUID:31920b13-8ba4-4937-9936-0fed0a5dcbf3; MainAdminID:18809
- Country of Publication:
- United States
- Language:
- English
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